Uncertainty and uncertainty analysis methods
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[1] David X. Li. On Default Correlation: A Copula Function Approach , 1999 .
[2] A E Ades,et al. Correlations Between Parameters in Risk Models: Estimation and Propagation of Uncertainty by Markov Chain Monte Carlo , 2003, Risk analysis : an official publication of the Society for Risk Analysis.
[3] D. Doak,et al. Book Review: Quantitative Conservation biology: Theory and Practice of Population Viability analysis , 2004, Landscape Ecology.
[4] R. R. Hocking. The analysis and selection of variables in linear regression , 1976 .
[5] Vladik Kreinovich,et al. Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty , 2009, IFSA/EUSFLAT Conf..
[6] R C Lee,et al. 221 DEVELOPMENT OF HUMAN EXPOSURE-FACTOR DISTRIBUTIONS USING MAXIMUM-ENTROPY INFERENCE , 1995 .
[7] Catherine A Calder,et al. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. , 2009, Ecological applications : a publication of the Ecological Society of America.
[8] Helen M. Regan,et al. Treatments of Uncertainty and Variability in Ecological Risk Assessment of Single-Species Populations , 2003 .
[9] R. F.,et al. Mathematical Statistics , 1944, Nature.
[10] Moshe Sniedovich,et al. A bird's view of info-gap decision theory , 2010 .
[11] L R Carrasco,et al. Optimal and robust control of invasive alien species spreading in homogeneous landscapes , 2010, Journal of The Royal Society Interface.
[12] Kenneth H. Reckhow,et al. CONFIRMATION OF WATER QUALITY MODELS , 1983 .
[13] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[14] J. Kadane,et al. Experiences in elicitation , 1998 .
[15] S. Lazic,et al. Introducing Monte Carlo Methods with R , 2012 .
[16] Jon C. Helton,et al. An exploration of alternative approaches to the representation of uncertainty in model predictions , 2003, Reliab. Eng. Syst. Saf..
[17] Fiona Fidler,et al. Reducing Overconfidence in the Interval Judgments of Experts , 2010, Risk analysis : an official publication of the Society for Risk Analysis.
[18] Stefano Schiavon,et al. Climate Change 2007: The Physical Science Basis. , 2007 .
[19] Ganapati P. Patil,et al. Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work , 1987 .
[20] Jeffrey M. Dambacher,et al. Qualitative predictions in model ecosystems , 2003 .
[21] William Warren-Hicks,et al. Methodology for Aquatic Ecological Risk Assessment , 2001 .
[22] Benjamin F. Hobbs,et al. FUZZY COGNITIVE MAPPING AS A TOOL TO DEFINE MANAGEMENT OBJECTIVES FOR COMPLEX ECOSYSTEMS , 2002 .
[23] Stan Kaplan,et al. The Words of Risk Analysis , 1997 .
[24] Fu‐Chun Wu,et al. Second-order Monte Carlo uncertainty/variability analysis using correlated model parameters: application to salmonid embryo survival risk assessment , 2004 .
[25] David Draper,et al. Assessment and Propagation of Model Uncertainty , 2011 .
[26] R. Clemen,et al. Correlations and Copulas for Decision and Risk Analysis , 1999 .
[27] R. Hilborn,et al. The Ecological Detective: Confronting Models with Data , 1997 .
[28] Max Henrion,et al. Some Practical Issues in Constructing Belief Networks , 1987, UAI.
[29] F. J. Davis,et al. Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis , 2002, Risk analysis : an official publication of the Society for Risk Analysis.
[30] W. Walker,et al. Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .
[31] Holger R. Maier,et al. Future research challenges for incorporation of uncertainty in environmental and ecological decision-making , 2008 .
[32] James Franklin. What Science Knows: And How It Knows It , 2009 .
[33] H. Luh,et al. Qualitative Stability and Ambiguity in Model Ecosystems , 2003, The American Naturalist.
[34] Chin-Diew Lai,et al. Continuous Bivariate Distributions, Emphasising Applications , 1992 .
[35] Peter Whittle,et al. Info-gap theory and robust design of surveillance for invasive species: the case study of Barrow Island. , 2009, Journal of environmental management.
[36] Keith R. Hayes,et al. Identifying Hazards in Complex Ecological Systems. Part 1: Fault-tree Analysis for Biological Invasions , 2002, Biological Invasions.
[37] Julian J. Faraway,et al. Practical Regression and Anova using R , 2002 .
[38] P. Calow,et al. Does ecotoxicology inform ecological risk assessment , 2003 .
[39] Christian P. Robert,et al. Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.
[40] P. Walley. Measures of Uncertainty in Expert Systems , 1996, Artificial Intelligence.
[41] David E. Burmaster,et al. Assessment of Variability and Uncertainty Distributions for Practical Risk Analyses , 1994 .
[42] M. Kynn. The ‘heuristics and biases’ bias in expert elicitation , 2007 .
[43] Jeffrey M Dambacher,et al. UNDERSTANDING AND PREDICTING EFFECTS OF MODIFIED INTERACTIONS THROUGH A QUALITATIVE ANALYSIS OF COMMUNITY STRUCTURE , 2007, The Quarterly Review of Biology.
[44] Scott Ferson,et al. Constructing Probability Boxes and Dempster-Shafer Structures , 2003 .
[45] Richard Levins,et al. Strategies of abstraction , 2007 .
[46] W. Cai,et al. 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION , 2009 .
[47] Rudolf de Groot,et al. A conceptual framework for selecting environmental indicator sets , 2008 .
[48] Norman C. Rasmussen,et al. The Application of Probabilistic Risk Assessment Techniques to Energy Technologies , 1981 .
[49] Allan Herbert Willett,et al. The Economic Theory Of Risk And Insurance , 2022 .
[50] Richard L. Tweedie,et al. An Effective Confidence Interval for the Mean With Samples of Size One and Two , 2001 .
[51] Vincent James Cogliano,et al. Plausible Upper Bounds: Are Their Sums Plausible? 1 , 1997 .
[52] R. S. Morley,et al. A model for the assessment of the animal disease risks associated with the importation of animals and animal products. , 1993, Revue scientifique et technique.
[53] L. W. Barnthouse,et al. User's manual for ecological risk assessment , 1986 .
[54] Keith R Hayes,et al. Identifying hazards in complex ecological systems. Part 3: Hierarchical Holographic Model for herbicide tolerant oilseed rape. , 2004, Environmental biosafety research.
[55] G. Kitagawa. Non-Gaussian State—Space Modeling of Nonstationary Time Series , 1987 .
[56] Yakov Ben-Haim,et al. Reconciling Uncertain Costs and Benefits in Bayes Nets for Invasive Species Management , 2010, Risk analysis : an official publication of the Society for Risk Analysis.
[57] Gert de Cooman,et al. A behavioral model for linguistic uncertainty , 2001, Inf. Sci..
[58] Sandra Johnson,et al. An Integrated Bayesian Network approach to Lyngbya majuscula bloom initiation. , 2010, Marine environmental research.
[59] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[60] M. B. Beck,et al. Water quality modeling: A review of the analysis of uncertainty , 1987 .
[61] Kevin Stokes,et al. Coping with uncertainty in ecological advice: lessons from fisheries , 2003 .
[62] S Ferson,et al. Conservative Uncertainty Propagation in Environmental Risk Assessments , 1995 .
[63] John Parslow,et al. Biogeochemical marine ecosystem models II: the effect of physiological detail on model performance , 2004 .
[64] Charles N. Haas,et al. Importance of Distributional Form in Characterizing Inputs to Monte Carlo Risk Assessments , 1997 .
[65] S. Barry,et al. Point of Truth Calibration: Putting science into scoring systems , 2010 .
[66] G. Peters,et al. Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC) , 2010, 1005.2238.
[67] Mark A. Burgman,et al. Evaluating extreme risks in invasion ecology: learning from banking compliance , 2008 .
[68] Robert M. May,et al. Stability and Complexity in Model Ecosystems , 2019, IEEE Transactions on Systems, Man, and Cybernetics.
[69] Maarten Nauta,et al. Separation of uncertainty and variability in quantitative microbial risk assessment models. , 2000 .
[70] Hugh P Possingham,et al. Accounting for uncertainty in marine reserve design. , 2006, Ecology letters.
[71] Didier Dubois,et al. Joint propagation of variability and imprecision in assessing the risk of groundwater contamination. , 2007, Journal of contaminant hydrology.
[72] Jun Yan,et al. Enjoy the Joy of Copulas: With a Package copula , 2007 .
[73] W. Stahel,et al. Log-normal Distributions across the Sciences: Keys and Clues , 2001 .
[74] Nico M. van Straalen,et al. Theory of Ecological Risk Assessment Based on Species Sensitivity Distributions , 2001 .
[75] Anne R. Kapuscinski,et al. Environmental risk assessment of genetically modified organisms, Volume 3. Methodologies for transgenic fish. , 2007 .
[76] Mevin B. Hooten,et al. A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove , 2008, Environmental and Ecological Statistics.
[77] Ray Hilborn,et al. The Influence of Model Structure on Conclusions about the Viability and Harvesting of Serengeti Wildebeest , 1997 .
[78] A. Townsend Peterson,et al. The Fallacy of Averages , 1988, The American Naturalist.
[79] James S. Clark,et al. UNCERTAINTY AND VARIABILITY IN DEMOGRAPHY AND POPULATION GROWTH: A HIERARCHICAL APPROACH , 2003 .
[80] E. Brunswik. Perception and the Representative Design of Psychological Experiments , 1957 .
[81] Y. Ben-Haim. Info-Gap Decision Theory: Decisions Under Severe Uncertainty , 2006 .
[82] Scott Ferson,et al. Automated quality assurance checks on model structure in ecological risk assessments , 1996 .
[83] Terje Aven,et al. On the Need for Restricting the Probabilistic Analysis in Risk Assessments to Variability , 2010, Risk analysis : an official publication of the Society for Risk Analysis.
[84] A. I. Shlyakhter,et al. An improved framework for uncertainty analysis: Accounting for unsuspected errors , 1994 .
[85] Yacov Y Haimes,et al. On the Complex Definition of Risk: A Systems‐Based Approach , 2009, Risk analysis : an official publication of the Society for Risk Analysis.
[86] Bogdan E. Popescu,et al. PREDICTIVE LEARNING VIA RULE ENSEMBLES , 2008, 0811.1679.
[87] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[88] Yakov Ben-Haim,et al. Robustness of Risk Maps and Survey Networks to Knowledge Gaps About a New Invasive Pest , 2010, Risk analysis : an official publication of the Society for Risk Analysis.
[89] M. J. Frank,et al. Best-possible bounds for the distribution of a sum — a problem of Kolmogorov , 1987 .
[90] Clare J. Veltman,et al. Predicting the effects of perturbations on ecological communities: what can qualitative models offer? , 2005 .
[91] Max Henrion,et al. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .
[92] L. Prior,et al. Ecological Models and Data in R , 2011 .
[93] George J. Klir,et al. Fuzzy sets, uncertainty and information , 1988 .
[94] Eric Horvitz,et al. Decision Analysis and Expert Systems , 1991, AI Mag..
[95] M-L Penrith. International animal health code - mammals birds and bees : book review , 2000 .
[96] Wout Slob,et al. Uncertainty Analysis in Multiplicative Models , 1994 .
[97] Scott Ferson,et al. Ecological modeling in risk assessment : chemical effects on populations, ecosystems, and landscapes , 2001 .
[98] Helen M. Regan,et al. A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY , 2002 .
[99] M. Fréchet. Sur les tableaux de correlation dont les marges sont donnees , 1951 .
[100] Leah Edelstein-Keshet,et al. Mathematical models in biology , 2005, Classics in applied mathematics.
[101] H. C. Wilson,et al. Hazop and Hazan: Identifying and Assessing Process Industry Hazards, 4th edition , 2001 .
[102] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[103] Robert T. Clemen,et al. Copula Models for Aggregating Expert Opinions , 1996, Oper. Res..
[104] Alistair J. Hobday,et al. Ecological risk assessment for the effects of fishing , 2011 .
[105] M. B. Beck,et al. Uncertainty and forecasting of water quality , 1983 .
[106] Kevin B. Korb,et al. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment , 2007, Environ. Model. Softw..
[107] J. A. Goguen,et al. The logic of inexact concepts , 1969, Synthese.
[108] Didier Dubois,et al. Representation, Propagation, and Decision Issues in Risk Analysis Under Incomplete Probabilistic Information , 2010, Risk analysis : an official publication of the Society for Risk Analysis.
[109] H. Thomas,et al. Subjective Probability and its Measurement , 1973 .
[110] Brendan A. Wintle,et al. The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological Models , 2003 .
[111] R. E. Megill,et al. introduction to risk analysis , 1971 .
[112] John Turner,et al. Model uncertainty in the ecosystem approach to fisheries , 2007 .
[113] F. Knight. The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .
[114] S. R. Searle,et al. Generalized, Linear, and Mixed Models , 2005 .
[115] E. Zio. RISK-INFORMED REGULATION: HANDLING UNCERTAINTY FOR A RATIONAL MANAGEMENT OF SAFETY , 2008 .
[116] Charles J. Puccia,et al. Qualitative Modeling of Complex Systems: An Introduction to Loop Analysis and Time Averaging , 1986 .
[117] Michael A. McCarthy,et al. Robust decisions for declaring eradication of invasive species , 2009 .
[118] Barbara A. Adams-Vanharn,et al. Evaluation of the current state of mechanistic aquatic biogeochemical modeling: citation analysis and future perspectives. , 2006, Environmental science & technology.
[119] Silja Renooij,et al. Probability elicitation for belief networks: issues to consider , 2001, The Knowledge Engineering Review.
[120] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[121] M. Stone. The Opinion Pool , 1961 .
[122] S. Ferson,et al. Different methods are needed to propagate ignorance and variability , 1996 .
[123] Scott Ferson,et al. What Monte Carlo methods cannot do , 1996 .
[124] Kathryn B. Laskey. Model uncertainty: theory and practical implications , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[125] Eve McDonald-Madden,et al. Making robust decisions for conservation with restricted money and knowledge , 2008 .
[126] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[127] Subrata Kundu,et al. Calculating and Describing Uncertainty in Risk Assessment: The Bayesian Approach , 2001 .
[128] E. David Ford,et al. Definition and calculation of uncertainty in ecological process models , 2009 .
[129] Aaron M. Ellison,et al. Bayesian inference in ecology , 2004 .
[130] J S Evans,et al. The effect of neglecting correlations when propagating uncertainty and estimating the population distribution of risk. , 1992, Risk analysis : an official publication of the Society for Risk Analysis.
[131] K. Fausch,et al. Analysis of trade-offs between threats of invasion by nonnative brook trout ( Salvelinus fontinalis ) and intentional isolation for native westslope cutthroat trout ( Oncorhynchus clarkii lewisi ) , 2008 .
[132] H Christopher Frey,et al. Second-order modeling of variability and uncertainty in microbial hazard characterization. , 2007, Journal of food protection.
[133] Didier Dubois,et al. Joint propagation of probability and possibility in risk analysis: Towards a formal framework , 2007, Int. J. Approx. Reason..
[134] Jan-Tai Kuo,et al. Risk Analysis for Dam Overtopping—Feitsui Reservoir as a Case Study , 2007 .
[135] Terje Aven,et al. Quantifying uncertainty under a predictive, epistemic approach to risk analysis , 2002, Reliab. Eng. Syst. Saf..
[136] André E. Punt,et al. Design of operational management strategies for achieving fishery ecosystem objectives , 2000 .
[137] P. Chesson,et al. Scaling up population dynamics: integrating theory and data , 2005, Oecologia.
[138] James S. Clark,et al. POPULATION TIME SERIES: PROCESS VARIABILITY, OBSERVATION ERRORS, MISSING VALUES, LAGS, AND HIDDEN STATES , 2004 .
[139] Kenneth H. Reckhow,et al. Water quality simulation modeling and uncertainty analysis for risk assessment and decision making , 1994 .
[140] B. Marcot,et al. Bayesian belief networks: applications in ecology and natural resource management , 2006 .
[141] Judea Pearl,et al. Fusion, Propagation, and Structuring in Belief Networks , 1986, Artif. Intell..
[142] Ashutosh Kumar Singh,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2010 .
[143] W. T. Tucker,et al. Probability boxes as info-gap models , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.
[144] Pao Shan Yu,et al. Comparison of uncertainty analysis methods for a distributed rainfall–runoff model , 2001 .
[145] D. C. Cox,et al. Methods for Uncertainty Analysis: A Comparative Survey , 1981 .
[146] A. W. Kemp,et al. Continuous Bivariate Distributions, Emphasising Applications , 1991 .
[147] R. Iman,et al. A distribution-free approach to inducing rank correlation among input variables , 1982 .
[148] D E Burmaster,et al. Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessments. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.
[149] Robert G. Easierling. An Anatomy of Risk , 1977 .
[150] A. R. Wilcox,et al. INDICES OF QUALITATIVE VARIATION. , 1967 .
[151] Herbert Moskowitz,et al. Improving the Consistency of Conditional Probability Assessments for Forecasting and Decision Making , 1983 .
[152] M. Wand,et al. Semiparametric Regression: Parametric Regression , 2003 .
[153] Edward J. Rykiel,et al. Testing ecological models: the meaning of validation , 1996 .
[154] John C. Butler,et al. Measures of Perceived Risk , 1999 .
[155] A. Patt,et al. Communicating uncertainty: lessons learned and suggestions for climate change assessment , 2005 .
[156] P. Legendre,et al. Developments in Numerical Ecology , 1988 .
[157] Carmel Pollino,et al. Increased Use of Bayesian Network Models Will Improve Ecological Risk Assessments , 2008 .
[158] Daniel Wartenberg,et al. Correlated Inputs in Quantitative Risk Assessment: The Effects of Distributional Shape , 1995 .
[159] Robert C. Williamson,et al. Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds , 1990, Int. J. Approx. Reason..
[160] Judith L. Anderson. Embracing Uncertainty: The Interface of Bayesian Statistics and Cognitive Psychology , 1998 .
[161] Adrian E. Raftery,et al. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .
[162] S. Wright. The Method of Path Coefficients , 1934 .
[163] Scott Ferson,et al. Probability bounds analysis in environmental risk assessments , 2003 .
[164] R. Nelsen. An Introduction to Copulas , 1998 .
[165] M. Burgman. Risks and Decisions for Conservation and Environmental Management: Experts, stakeholders and elicitation , 2005 .
[166] Larry Collins. Identifying the Risks , 2000 .
[167] L. C. van der Gaag,et al. Building probabilistic networks: Where do the numbers come from? - a guide to the literature , 2000 .
[168] Keith R. Hayes,et al. Identifying Hazards in Complex Ecological Systems. Part 2: Infection Modes and Effects Analysis for Biological Invasions , 2002, Biological Invasions.
[169] Donna Riley,et al. The Use of Mental Models in Chemical Risk Protection: Developing a Generic Workplace Methodology , 2003, Risk analysis : an official publication of the Society for Risk Analysis.
[170] Marie Laure Delignette-Muller,et al. Quantitative Risk Assessment of Listeria monocytogenes in French Cold‐Smoked Salmon: I. Quantitative Exposure Assessment , 2007, Risk analysis : an official publication of the Society for Risk Analysis.
[171] M. Elisabeth Paté-Cornell,et al. Uncertainties in risk analysis: Six levels of treatment , 1996 .
[172] Marie Laure Delignette-Muller,et al. Evaluating variability and uncertainty separately in microbial quantitative risk assessment using two R packages. , 2010, International journal of food microbiology.
[173] Moshe Sniedovich,et al. The Art and Science of Modeling Decision-Making Under Severe Uncertainty , 2007 .
[174] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[175] Robert L. Winkler,et al. Combining Probability Distributions From Experts in Risk Analysis , 1999 .
[176] G. Oehlert. A note on the delta method , 1992 .
[177] Yee Mey Goh,et al. Development and characterisation of error functions in design , 2007 .
[178] Dale Hattis,et al. A. Uncertainty and Variability , 1999 .
[179] Jeffrey M. Dambacher,et al. RELEVANCE OF COMMUNITY STRUCTURE IN ASSESSING INDETERMINACY OF ECOLOGICAL PREDICTIONS , 2002 .
[180] N. Murray,et al. Import risk analysis: animals and animal products. , 2002 .
[181] F. O. Hoffman,et al. An introductory guide to uncertainty analysis in environmental and health risk assessment , 1992 .
[182] Jeremy E. Oakley,et al. Probability is perfect, but we can't elicit it perfectly , 2004, Reliab. Eng. Syst. Saf..
[183] Leo Breiman,et al. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001, Statistical Science.
[184] Wayne R. Ott. ENVIRONMENTAL STATISTICS and DATA ANALYSIS , 1995 .
[185] David S. L. Ramsey,et al. Predicting the unexpected: using a qualitative model of a New Zealand dryland ecosystem to anticipate pest management outcomes. , 2009 .
[186] K. Beven. Environmental Modelling , 2007 .
[187] Milan Zeleny,et al. An Anatomy of Risk , 1978 .
[188] Yakov Ben-Haim,et al. Uncertainty, probability and information-gaps , 2004, Reliab. Eng. Syst. Saf..
[189] Jukka Ranta,et al. Estimation of True Salmonella Prevalence Jointly in Cattle Herd and Animal Populations Using Bayesian Hierarchical Modeling , 2005, Risk analysis : an official publication of the Society for Risk Analysis.
[190] Anthony Charles,et al. Living with uncertainty in fisheries: analytical methods, management priorities and the Canadian groundfishery experience , 1998 .
[191] Richard Levins,et al. A Response to Orzack and Sober: Formal Analysis and the Fluidity of Science , 1993, The Quarterly Review of Biology.
[192] Bradley P. Carlin,et al. Bayesian Methods for Data Analysis , 2008 .
[193] Uygar Özesmi,et al. Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .
[194] M. Granger Morgan,et al. Mixed Levels of Uncertainty in Complex Policy Models , 1999 .
[195] M. B. Beck,et al. Uncertainty and arbitrariness in ecosystems modelling: A lake modelling example , 1981 .
[196] Michele Benzi,et al. Francesco Paolo Cantelli , 2007 .
[197] W. Hoeffding. Scale—Invariant Correlation Theory , 1994 .
[198] T. Done,et al. Learning to predict large-scale coral bleaching from past events: A Bayesian approach using remotely sensed data, in-situ data, and environmental proxies , 2004, Coral Reefs.
[199] H. Christopher Frey,et al. Methods for Characterizing Variability and Uncertainty: Comparison of Bootstrap Simulation and Likelihood‐Based Approaches , 1999 .
[200] L Joe Moffitt,et al. Robust detection protocols for uncertain introductions of invasive species. , 2008, Journal of environmental management.
[201] John M. Emlen,et al. Terrestrial population models for ecological risk assessment: A state‐of‐the‐art review , 1989 .
[202] Scott Ferson,et al. Arithmetic with uncertain numbers: rigorous and (often) best possible answers , 2004, Reliab. Eng. Syst. Saf..
[203] Uygar Özesmi,et al. A Participatory Approach to Ecosystem Conservation: Fuzzy Cognitive Maps and Stakeholder Group Analysis in Uluabat Lake, Turkey , 2003, Environmental management.
[204] Geoffrey R Hosack,et al. Assessing model structure uncertainty through an analysis of system feedback and Bayesian networks. , 2008, Ecological applications : a publication of the Ecological Society of America.
[205] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[206] P. Embrechts,et al. Chapter 8 – Modelling Dependence with Copulas and Applications to Risk Management , 2003 .
[207] Daniel Berleant,et al. Statool: A Tool for Distribution Envelope Determination (DEnv), an Interval-Based Algorithm for Arithmetic on Random Variables , 2003, Reliab. Comput..
[208] Trevor A. Kletz,et al. Hazop & Hazan: Identifying and Assessing Process Industry Hazards, Fouth Edition , 1999 .
[209] Mark A. Burgman,et al. Ecological Risk Assessment , 1992 .
[210] Charles N. Haas. On Modeling Correlated Random Variables in Risk Assessment , 1999 .
[211] S. Barry,et al. Are there any consistent predictors of invasion success? , 2008, Biological Invasions.
[212] L. J. Moffitt,et al. Robust inspection for invasive species with a limited budget , 2007 .
[213] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[214] Keith Beven,et al. Prophecy, reality and uncertainty in distributed hydrological modelling , 1993 .
[215] Rutgers M. Jensen J.,et al. 2 Framework for ecological risk assessment , .
[216] S. Ferson,et al. Realism and Relevance of Ecological Models Used in Chemical Risk Assessment , 2003 .
[217] Joseph Y. Halpern. Reasoning about uncertainty , 2003 .
[218] Keith R. Hayes,et al. Ballast water service level agreement (SLA)- Part IV , 2009 .
[219] Renata J. Romanowicz,et al. Comments on generalised likelihood uncertainty estimation , 2006, Reliab. Eng. Syst. Saf..
[220] S S Stevens,et al. On the Theory of Scales of Measurement. , 1946, Science.
[221] Janet M. Carey,et al. Linguistic Uncertainty in Qualitative Risk Analysis and How to Minimize It , 2008, Annals of the New York Academy of Sciences.
[222] M. Blaas,et al. Complexity, accuracy and practical applicability of different biogeochemical model versions , 2010 .
[223] R. Keeney,et al. Acceptable Risk , 1986, IEEE Transactions on Reliability.
[224] R. Levins. Evolution in Changing Environments: Some Theoretical Explorations. (MPB-2) , 1968 .
[225] Craig A. Stow,et al. Eutrophication risk assessment using Bayesian calibration of process-based models : application to a mesotrophic lake , 2007 .
[226] M. E. Stephens,et al. Deriving parameter probability density functions , 1993 .
[227] D. M. Rasmuson,et al. Uncertainties in Nuclear Probabilistic Risk Analyses , 1984 .
[228] Bart Kosko,et al. Hidden patterns in combined and adaptive knowledge networks , 1988, Int. J. Approx. Reason..
[229] D. Stoller,et al. On the Generation of Normal Random Vectors , 1962 .
[230] David V. Budescu,et al. Improving Communication of Uncertainty in the Reports of the Intergovernmental Panel on Climate Change , 2009, Psychological science.
[231] Helen M. Regan,et al. Analysis and Portrayal of Uncertainty in a Food-Web Exposure Model , 2002 .
[232] Jon T. Schnute,et al. A General Framework for Developing Sequential Fisheries Models , 1994 .
[233] Louis Anthony (Tony) Cox,et al. Some Limitations of Qualitative Risk Rating Systems , 2005, Risk analysis : an official publication of the Society for Risk Analysis.
[234] David E. Burmaster,et al. Fitting Second-Order Parametric Distributions to Data Using Maximum Likelihood Estimation , 1998 .
[235] Jane Elith,et al. Planning for robust reserve networks using uncertainty analysis , 2006 .
[236] C. Chatfield. Model uncertainty, data mining and statistical inference , 1995 .
[237] Mark Kot,et al. Elements of Mathematical Ecology: Frontmatter , 2001 .
[238] David Jenkinson,et al. The Elicitation of Probabilities-A Review of the Statistical Literature , 2005 .
[239] D. Vose. Risk Analysis: A Quantitative Guide , 2000 .
[240] Martin A. Nowak,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004 .
[241] H. Christopher Frey,et al. Characterization and Simulation of Uncertain Frequency Distributions: Effects of Distribution Choice, Variability, Uncertainty, and Parameter Dependence , 1998 .
[242] Leonard R. Sussman,et al. Nominal, Ordinal, Interval, and Ratio Typologies are Misleading , 1993 .
[243] Sven Ove Hansson,et al. Philosophical Perspectives on Risk , 2004 .
[244] William Ocampo-Duque,et al. Assessing water quality in rivers with fuzzy inference systems: a case study. , 2006, Environment international.
[245] F. O. Hoffman,et al. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.
[246] Laura Uusitalo,et al. Advantages and challenges of Bayesian networks in environmental modelling , 2007 .
[247] Vicki M. Bier,et al. Implications of the research on expert overconfidence and dependence , 2004, Reliab. Eng. Syst. Saf..
[248] Louise Ryan,et al. Combining data from multiple sources, with applications to environmental risk assessment , 2008, Statistics in medicine.
[249] Andy Hart,et al. Application of uncertainty analysis in assessing dietary exposure. , 2003, Toxicology letters.
[250] Marie-Joëlle Rochet,et al. Qualitative modelling and indicators of exploited ecosystems , 2009 .
[251] Hiromitsu Kumamoto,et al. Probabilistic Risk Assessment and Management for Engineers and Scientists , 1996 .
[252] David J. Spiegelhalter,et al. Bayesian analysis in expert systems , 1993 .
[253] T. R. Stewart. A Decomposition of the Correlation Coefficient and its Use in Analyzing Forecasting Skill , 1990 .
[254] Alan Agresti,et al. Categorical Data Analysis , 1991, International Encyclopedia of Statistical Science.
[255] Y. Ben-Haim,et al. An info‐gap approach to power and sample size calculations , 2007 .
[256] Li-Hua Feng,et al. The application of fuzzy risk in researching flood disasters , 2010 .
[257] Gareth W. Peters,et al. Automating and evaluating reversible jump MCMC proposal distributions , 2009, Stat. Comput..
[258] Sean M. McMahon,et al. Quantifying the Community: Using Bayesian Learning Networks to find Structure and Conduct Inference in Invasions Biology , 2005, Biological Invasions.
[259] William A Link,et al. Model weights and the foundations of multimodel inference. , 2006, Ecology.
[260] P. Sebastiani,et al. A Bayesian dynamic model for influenza surveillance , 2006, Statistics in medicine.
[261] Helen M. Regan,et al. Equivalence of methods for uncertainty propagation of real-valued random variables , 2004, Int. J. Approx. Reason..
[262] T. J. Mullin,et al. Environmental release of transgenic trees in Canada — potential benefits and assessment of biosafety , 1998 .
[263] G M Hood,et al. Alternative Methods for Computing the Sensitivity of Complex Surveillance Systems , 2009, Risk analysis : an official publication of the Society for Risk Analysis.
[264] Moshe Y. Vardi,et al. Verification , 1917, Handbook of Automata Theory.
[265] Daniel M. Kammen,et al. Sea-level rise or fall? , 1992, Nature.
[266] P. Walley. Statistical Reasoning with Imprecise Probabilities , 1990 .
[267] T. Robinson,et al. Models for Ecological Data: An Introduction , 2008 .
[268] Kimberly M. Thompson. Developing Univariate Distributions from Data for Risk Analysis , 1999 .
[269] Scott Ferson,et al. Varying correlation coefficients can underestimate uncertainty in probabilistic models , 2006, Reliab. Eng. Syst. Saf..
[270] M. Fréchet. Généralisation du théorème des probabilités totales , 1935 .
[271] Jeremy E. Oakley,et al. Uncertain Judgements: Eliciting Experts' Probabilities , 2006 .
[272] S. Kaplan,et al. C. How, When, Why to Use All of the Evidence , 1999 .
[273] Frøydis Gillund,et al. Do uncertainty analyses reveal uncertainties? Using the introduction of DNA vaccines to aquaculture as a case. , 2008, The Science of the total environment.
[274] B. Shipley. Cause and Correlation in Biology: Preface , 2000 .
[275] E. Brunswik. Representative design and probabilistic theory in a functional psychology. , 1955, Psychological review.
[276] Keng Siau,et al. Improving the quality of conceptual modeling using cognitive mapping techniques , 2005, Data Knowl. Eng..
[277] Scott A. Sisson,et al. Transdimensional Markov Chains , 2005 .