Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
暂无分享,去创建一个
[1] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[2] Andrew Thomas,et al. The BUGS project: Evolution, critique and future directions , 2009, Statistics in medicine.
[3] C. Krebs. Ecology: The Experimental Analysis of Distribution and Abundance , 1973 .
[4] J. Andrew Royle,et al. Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB , 2009 .
[5] W. Link,et al. HIERARCHICAL MODELING OF POPULATION STABILITY AND SPECIES GROUP ATTRIBUTES FROM SURVEY DATA , 2002 .
[6] Marc Kéry,et al. Estimating Abundance From Bird Counts: Binomial Mixture Models Uncover Complex Covariate Relationships , 2008 .
[7] Perry de Valpine. Shared challenges and common ground for Bayesian and classical analysis of hierarchical statistical models. , 2009 .
[8] S. Lele,et al. ESTIMATING DENSITY DEPENDENCE, PROCESS NOISE, AND OBSERVATION ERROR , 2006 .
[9] J. Andrew Royle. N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts , 2004, Biometrics.
[10] A. Zeileis,et al. Regression Models for Count Data in R , 2008 .
[11] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Andrew Gelman,et al. R2WinBUGS: A Package for Running WinBUGS from R , 2005 .
[13] Brian R. Cullis,et al. Prediction in linear mixed models , 2004 .
[14] P. Wade. Bayesian Methods in Conservation Biology , 2000 .
[15] M. McCarthy. Bayesian Methods for Ecology: Frontmatter , 2007 .
[16] James S. Clark,et al. Models for Ecological Data: An Introduction , 2007 .
[17] M. Freeman,et al. Estimating species occurrence, abundance, and detection probability using zero-inflated distributions. , 2008, Ecology.
[18] Res Altwegg,et al. Climate and the range dynamics of species with imperfect detection , 2008, Biology Letters.
[19] Stephen P Brooks,et al. Bayesian computation: a statistical revolution , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[20] Brian Dennis,et al. Discussion: Should Ecologists Become Bayesians? , 1996 .
[21] Marc Kery,et al. Inferring the absence of a species -- a case study of snakes , 2002 .
[22] Jay M. Ver Hoef,et al. Space—time zero‐inflated count models of Harbor seals , 2007 .
[23] William A Link,et al. Model weights and the foundations of multimodel inference. , 2006, Ecology.
[24] Marc Kéry,et al. Extinction Rate Estimates for Plant Populations in Revisitation Studies: Importance of Detectability , 2004 .
[25] N. Lazar,et al. Methods and Criteria for Model Selection , 2004 .
[26] R. Little. Calibrated Bayes , 2006 .
[27] M. McCarthy,et al. Profiting from prior information in Bayesian analyses of ecological data , 2005 .
[28] I. Cock. Encyclopedia of Life Support Systems (EOLSS) , 2011 .
[29] S. R. Searle,et al. Generalized, Linear, and Mixed Models , 2005 .
[30] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[31] Peter Dalgaard,et al. Introductory statistics with R , 2002, Statistics and computing.
[32] Brian Dennis,et al. Hierarchical models in ecology: confidence intervals, hypothesis testing, and model selection using data cloning. , 2009, Ecology.
[33] B. Schmidt,et al. Monitoring distributions using call surveys: estimating site occupancy, detection probabilities and inferring absence. , 2005 .
[34] S. T. Buckland,et al. Estimating Animal Abundance , 2002 .
[35] Marc Kéry,et al. Imperfect detection and its consequences for monitoring for conservation , 2008 .
[36] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[37] J. Andrew Royle. Generalized estimators of avian abundance from count survey data , 2004 .
[38] Murray G Efford,et al. Population density estimated from locations of individuals on a passive detector array. , 2009, Ecology.
[39] Petros Dellaportas,et al. On Bayesian model and variable selection using MCMC , 2002, Stat. Comput..
[40] Andrew Gelman,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .
[41] L. L. Cam,et al. Maximum likelihood : an introduction , 1990 .
[42] Ian D Jonsen,et al. Assessing threats to species at risk using stage-structured state-space models: mortality trends in skate populations. , 2009, Ecological applications : a publication of the Ecological Society of America.
[43] M. Karim. Generalized Linear Models With Random Effects , 1991 .
[44] J. Nichols,et al. ESTIMATING SITE OCCUPANCY, COLONIZATION, AND LOCAL EXTINCTION WHEN A SPECIES IS DETECTED IMPERFECTLY , 2003 .
[45] Alan E. Gelfand,et al. Bayesian statistics without tears: A sampling-resampling perspective , 1992 .
[46] C. Robert,et al. Bayesian Modeling Using WinBUGS , 2009 .
[47] David J. Spiegelhalter,et al. WinBUGS user manual version 1.4 , 2003 .
[48] D. MacKenzie. Modeling the Probability of Resource Use: The Effect of, and Dealing with, Detecting a Species Imperfectly , 2006 .
[49] Xiao-Li Meng,et al. POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES , 1996 .
[50] D. MacKenzie. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence , 2005 .
[51] Joseph Hilbe,et al. Bayesian Analysis for Population Ecology , 2009 .
[52] B. Schmidt,et al. Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly , 2005 .
[53] Alan Hastings,et al. FITTING POPULATION MODELS INCORPORATING PROCESS NOISE AND OBSERVATION ERROR , 2002 .
[54] A. Gelman. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .
[55] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[56] M. Degroot,et al. Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.
[57] M. Kéry,et al. Predicting species distributions from checklist data using site‐occupancy models , 2010 .
[58] K. Burnham,et al. Program MARK: survival estimation from populations of marked animals , 1999 .
[59] J. Nichols,et al. OF BUGS AND BIRDS: MARKOV CHAIN MONTE CARLO FOR HIERARCHICAL MODELING IN WILDLIFE RESEARCH , 2002 .
[60] D. Bates,et al. Mixed-Effects Models in S and S-PLUS , 2001 .
[61] John Hinde,et al. Statistical Modelling in R , 2009 .
[62] M. Conroy,et al. Analysis and Management of Animal Populations , 2002 .
[63] J Andrew Royle,et al. A hierarchical model for spatial capture-recapture data. , 2008, Ecology.
[64] J. Andrew Royle,et al. Hierarchical models of animal abundance and occurrence , 2006 .
[65] Christopher K. Wikle,et al. Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes , 2003 .
[66] H. G. Andrewartha,et al. The distribution and abundance of animals. , 1954 .
[67] M. Kéry,et al. How biased are estimates of extinction probability in revisitation studies? , 2006 .
[68] Stephen N Freeman,et al. On smoothing trends in population index modeling. , 2007, Biometrics.
[69] J. Andrew Royle,et al. A Bayesian state-space formulation of dynamic occupancy models. , 2007, Ecology.
[70] Kenneth H. Pollock,et al. Bayesian spatial modeling of data from avian point count surveys , 2008 .
[71] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[72] George G. Woodworth,et al. Biostatistics: A Bayesian Introduction , 2004 .
[73] Ché Elkin,et al. Modeling abundance using N-mixture models: the importance of considering ecological mechanisms. , 2009, Ecological applications : a publication of the Ecological Society of America.
[74] J. Andrew Royle,et al. HIERARCHICAL SPATIAL MODELS OF ABUNDANCE AND OCCURRENCE FROM IMPERFECT SURVEY DATA , 2007 .
[75] J Andrew Royle,et al. Web-based Supplementary Materials for “ Modeling Individual Effects in the Cormack-Jolly-Seber Model : A State-space Formulation ” , 2010 .
[76] David Lindley,et al. Theory and Practice of Bayesian Statistics , 1983 .
[77] Benjamin M. Bolker,et al. Ecological Models and Data in R , 2008 .
[78] W. Link,et al. A HIERARCHICAL ANALYSIS OF POPULATION CHANGE WITH APPLICATION TO CERULEAN WARBLERS , 2002 .
[79] H. Possingham,et al. IMPROVING PRECISION AND REDUCING BIAS IN BIOLOGICAL SURVEYS: ESTIMATING FALSE‐NEGATIVE ERROR RATES , 2003 .
[80] David R. Jones,et al. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS , 2005, Statistics in medicine.
[81] D L Borchers,et al. Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies , 2008, Biometrics.
[82] James D. Nichols,et al. Monitoring of biological diversity in space and time , 2001 .
[83] M. Efford. Density estimation in live‐trapping studies , 2004 .
[84] Brian Dennis,et al. Bayesian methods for hierarchical models: are ecologists making a Faustian bargain? , 2009, Ecological applications : a publication of the Ecological Society of America.
[85] J. Andrew Royle,et al. MODELING AVIAN ABUNDANCE FROM REPLICATED COUNTS USING BINOMIAL MIXTURE MODELS , 2005 .
[86] L. Powell. APPROXIMATING VARIANCE OF DEMOGRAPHIC PARAMETERS USING THE DELTA METHOD: A REFERENCE FOR AVIAN BIOLOGISTS , 2007 .
[87] William N. Venables,et al. Modern Applied Statistics with S , 2010 .
[88] K. Mengersen,et al. The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds , 2005 .
[89] J. Andrew Royle,et al. Trend estimation in populations with imperfect detection , 2009 .