Spectral measures of risk: A coherent representation of subjective risk aversion

[1]  Luc De Raedt,et al.  CorClass: Correlated Association Rule Mining for Classification , 2004, Discovery Science.

[2]  Dmitri A. Rachkovskij,et al.  Some approaches to analogical mapping with structure-sensitive distributed representations , 2004, J. Exp. Theor. Artif. Intell..

[3]  D. Bertsimas,et al.  Shortfall as a risk measure: properties, optimization and applications , 2004 .

[4]  B. Merz,et al.  Estimation uncertainty of direct monetary flood damage to buildings , 2004 .

[5]  Results of the CEGRN'03 /BULREF'03 GPS Campagn , 2004 .

[6]  Ramakant Nevatia,et al.  Car detection in low resolution aerial images , 2003, Image Vis. Comput..

[7]  J. Nocquet,et al.  Crustal velocity field of western Europe from permanent GPS array solutions, 1996–2001 , 2003 .

[8]  J. Sempau,et al.  Experimental benchmarks of the Monte Carlo code penelope , 2003 .

[9]  S. Ustin,et al.  Water content estimation in vegetation with MODIS reflectance data and model inversion methods , 2003 .

[10]  V. Temlyakov Nonlinear Methods of Approximation , 2003, Found. Comput. Math..

[11]  Jiawei Han,et al.  CPAR: Classification based on Predictive Association Rules , 2003, SDM.

[12]  Jiawei Han,et al.  gSpan: graph-based substructure pattern mining , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[13]  Ryosuke Shibasaki,et al.  Fusing Stereo Linear CCD Image And Laser Range Data For Building 3-D Urban Model , 2002 .

[14]  Václav Hlavác,et al.  Ten Lectures on Statistical and Structural Pattern Recognition , 2002, Computational Imaging and Vision.

[15]  Cordelia Schmid,et al.  An Affine Invariant Interest Point Detector , 2002, ECCV.

[16]  David E Hogan,et al.  Nuclear terrorism. , 2002, The American journal of the medical sciences.

[17]  Osmar R. Zaïane,et al.  Classifying Text Documents by Associating Terms With Text Categories , 2002, Australasian Database Conference.

[18]  Hongjun Lu,et al.  H-mine: hyper-structure mining of frequent patterns in large databases , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[19]  Masashi Sugiyama,et al.  Subspace Information Criterion for Model Selection , 2001, Neural Computation.

[20]  D. Tasche,et al.  Expected Shortfall: a natural coherent alternative to Value at Risk , 2001, cond-mat/0105191.

[21]  C. Acerbi,et al.  On the coherence of expected shortfall , 2001, cond-mat/0104295.

[22]  R. Rockafellar,et al.  Conditional Value-at-Risk for General Loss Distributions , 2001 .

[23]  Dmitri A. Rachkovskij,et al.  Representation and Processing of Structures with Binary Sparse Distributed Codes , 2001, IEEE Trans. Knowl. Data Eng..

[24]  C. Acerbi,et al.  Expected Shortfall as a Tool for Financial Risk Management , 2001, cond-mat/0102304.

[25]  Dmitri A. Rachkovskij,et al.  Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning , 2001, Neural Computation.

[26]  Wlodzimierz Ogryczak,et al.  On consistency of stochastic dominance and mean–semideviation models , 2001, Math. Program..

[27]  S. Kusuoka On law invariant coherent risk measures , 2001 .

[28]  Jörg Rech,et al.  Knowledge Discovery in Databases , 2001, Künstliche Intell..

[29]  úhg,et al.  An Algorithm for Mining Association Rules Using Perfect Hashing and Database Pruning , 2001 .

[30]  C. Goodhart The Organizational Structure of Banking Supervision , 2002 .

[31]  Andreas Niedermeier,et al.  Detection of coastlines in SAR images using wavelet methods , 2000, IEEE Trans. Geosci. Remote. Sens..

[32]  Stan Uryasev,et al.  Conditional value-at-risk: optimization algorithms and applications , 2000, Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520).

[33]  S. Uryasev Probabilistic constrained optimization : methodology and applications , 2000 .

[34]  B. Vidakovic Γ-Minimax: A Paradigm for Conservative Robust Bayesians , 2000 .

[35]  R. Rockafellar,et al.  Optimization of conditional value-at risk , 2000 .

[36]  G. Pflug Some Remarks on the Value-at-Risk and the Conditional Value-at-Risk , 2000 .

[37]  Wlodzimierz Ogryczak,et al.  From stochastic dominance to mean-risk models: Semideviations as risk measures , 1999, Eur. J. Oper. Res..

[38]  Philippe Artzner,et al.  Coherent Measures of Risk , 1999 .

[39]  Matthieu Cord,et al.  Building Detection and Reconstruction from Mid- and High-Resolution Aerial Imagery , 1998, Comput. Vis. Image Underst..

[40]  Boudewijn Ambrosius,et al.  Scientific objectives of current and future WEGENER activities , 1998 .

[41]  Santosh S. Vempala,et al.  Latent semantic indexing: a probabilistic analysis , 1998, PODS '98.

[42]  Srinivasan Parthasarathy,et al.  New Algorithms for Fast Discovery of Association Rules , 1997, KDD.

[43]  Application of microwave radiometers for wetlands and estuaries monitoring , 1997 .

[44]  Freddy Delbaen,et al.  A Characterization of Measures of Risk , 1997 .

[45]  Wooil M. Moon,et al.  Adaptive Filtering of Random Noise in 2-D Geophysical Data , 1997 .

[46]  Vladik Kreinovich,et al.  Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming , 1997 .

[47]  Shaun S. Wang Premium Calculation by Transforming the Layer Premium Density , 1996, ASTIN Bulletin.

[48]  Federico Girosi,et al.  On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions , 1996, Neural Computation.

[49]  A.M. Shutko,et al.  Microwave radiometers and their application in field and aircraft campaigns for remote sensing of land and water surfaces , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[50]  V. Singh,et al.  Computer Models of Watershed Hydrology , 1995 .

[51]  Philip S. Yu,et al.  An effective hash-based algorithm for mining association rules , 1995, SIGMOD '95.

[52]  The role of water and the hydrological cycle in global change , 1995 .

[53]  H. Martz,et al.  Bayes reliability estimation using multiple sources of prior information: binomial sampling , 1994 .

[54]  Darryl W. Davis,et al.  Risk-Based Analysis for Flood Damage Reduction , 1994 .

[55]  Alberto Maria Segre,et al.  Programs for Machine Learning , 1994 .

[56]  R. Mike Cameron-Jones,et al.  FOIL: A Midterm Report , 1993, ECML.

[57]  K. Feldman Portfolio Selection, Efficient Diversification of Investments . By Harry M. Markowitz (Basil Blackwell, 1991) £25.00 , 1992 .

[58]  Syozo Uchitomi,et al.  INTERMITTENT DIAGMOSTICS OF THE THERMAL PROCESS BY MEANS OF ATTENTION SUBSET DIAGNOSIS BASED ON THE TREE-ROOT STRUCTURE , 1990 .

[59]  R. Wets,et al.  Stochastic programming , 1989 .

[60]  Ian H. Witten,et al.  Using Concept Learning for Knowledge Acquisition , 1988, Int. J. Man Mach. Stud..

[61]  J. M. Norman,et al.  Indirect sensing of plant canopy structure with simple radiation measurements , 1988 .

[62]  Radhey S. Singh Empirical Bayes estimation in a multiple linear regression model , 1985 .

[63]  H. Robbins Asymptotically Subminimax Solutions of Compound Statistical Decision Problems , 1985 .

[64]  D. R. Nielsen,et al.  Analyzing field-measured soil-water properties , 1983 .

[65]  A. Shutko,et al.  Microwave Radiometry of Lands under Natural and Artificial Moistening , 1982, IEEE Transactions on Geoscience and Remote Sensing.

[66]  W. R. van Zwet,et al.  A Strong Law for Linear Functions of Order Statistics , 1980 .

[67]  J. Chatterton,et al.  The Benefits of Flood Alleviation: A Manual of Assessment Techniques , 1978 .

[68]  H. F. Martz,et al.  Gamma prior distribution selection for Bayesian analysis of failure rate and reliability , 1976 .

[69]  H. F. Martz,et al.  Fitting beta prior distributions in Bayesian reliability analysis: a set of tables , 1976 .

[70]  James Martin,et al.  Computer Data-Base Organization , 1975 .

[71]  A. Rose,et al.  Vision: human and electronic , 1973 .

[72]  Chris P. Tsokos,et al.  Bayesian Concepts for the Estimation of Reliability in the Weibull Life-testing Model , 1972 .

[73]  Chris P. Tsokos,et al.  Empirical Bayes Point Estimation in a Family of Probability Distributions , 1972 .

[74]  H. E. McKean,et al.  Tables of the Incomplete Beta Function , 1968 .

[75]  Shun-ichi Amari,et al.  A Theory of Pattern Recognition , 1968 .

[76]  H. Weiler,et al.  The Use of Incomplete Beta Functions for Prior Distributions in Binomial Sampling , 1965 .

[77]  H. Robbins An Empirical Bayes Approach to Statistics , 1956 .

[78]  F. H. Adler Cybernetics, or Control and Communication in the Animal and the Machine. , 1949 .

[79]  K. Pearson,et al.  Tables of the Incomplete Gamma-Function , 2013, Nature.

[80]  E. Revunova Blind source separation based on minimum description length , 2022 .