Bayesian Data Analysis

Cited by (1,150)

Items 601–700 of 1,150

1. OBJ CUT
   Manish Kumar, Philip H. S. Torr, Andrew Zisserman · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
2. Modelling functional integration: a comparison of structural equation and dynamic causal models
   W.D. Penny, Klaas Enno Stephan, Andrea Mechelli, Karl John Friston · 2004 · NeuroImage
3. Advances in Collaborative Filtering
   Koren, Yehuda, Rendle, Steffen, Bell, Robert · 2022 · Recommender Systems Handbook
4. Analysis of cross category dependence in market basket selection
   Gary J. Russell, Ann Petersen · 2000 · Journal of Retailing
5. Building essential biodiversity variables ( EBV s) of species distribution and abundance at a global scale
   Wilm Daniel Kissling, Jorge Ahumada, Anne Bowser, Miguel Fernández, Néstor Fernández, Enrique Alonso García, Robert Guralnick, Nick J. B. Isaac, Steve Kelling, Wouter Los et al. · 2017 · Biological reviews/Biological reviews of the Cambridge Philosophical Society
6. Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
   Alessio Benavoli, Giorgio Corani A, Janez Demšar, Marco Zaffalon A · 2016 · arXiv (Cornell University)
7. Much of late life cognitive decline is not due to common neurodegenerative pathologies
   Boyle, Patricia A., Wilson, Robert S., Yu, Lei, Barr, Alasdair M., Honer, William G., Schneider, Julie A., Bennett, David A. · 2013 · Annals of Neurology
8. Compression in visual working memory: Using statistical regularities to form more efficient memory representations.
   Timothy F. Brady, Talia Konkle, George A. Alvarez · 2009 · Journal of Experimental Psychology General
9. Spatial Inference of Admixture Proportions and Secondary Contact Zones
   E. Durand, Flora Jay, Oscar E. Gaggiotti, Olivier François · 2009 · Molecular Biology and Evolution
10. Hierarchical diffusion models for two-choice response times.
    Joachim Vandekerckhove, Francis Tuerlinckx, Michael David Lee · 2011 · Psychological Methods
11. Ancient DNA Reveals Key Stages in the Formation of Central European Mitochondrial Genetic Diversity
    Brandt, Guido, Haak, Wolfgang, Adler, Christina J., Roth, Christina, Szécsényi-Nagy, Anna, Karimnia, Sarah, Möller-Rieker, Sabine, Meller, Harald, Ganslmeier, Robert, Friederich, Susanne et al. · 2013 · Science
12. Time-Varying Network Tomography: Router Link Data
    Jin Ling Cao, Drew Davis, Scott Vander Wiel, Bin Yu · 2000 · Journal of the American Statistical Association
13. Analyzing longitudinal data with missing values
    Enders, Craig K. · 2011 · Rehabilitation Psychology
14. THE NEUTRON STAR MASS DISTRIBUTION
    Bülent Kiziltan, Athanasios Kottas, Maria De Yoreo, Stephen E. Thorsett · 2013 · The Astrophysical Journal
15. Validation of Software for Bayesian Models Using Posterior Quantiles
    Samantha R Cook, Andrew Gelman, Donald B. Rubin · 2006 · Journal of Computational and Graphical Statistics
16. GATHER: a systems approach to interpreting genomic signatures
    Jeffrey T. Chang, Joseph Roy Nevins · 2006 · Bioinformatics
17. Comparative Effectiveness of First-Line Medications for Primary Open-Angle Glaucoma
    Tianjing Li, Kristina B. Lindsley, Benjamin Rouse, Hwanhee Hong, Qiyuan Shi, David Steven Friedman, Richard Wormald, Kay Dickersin · 2015 · Ophthalmology
18. Indirect Treatment Comparison/Network Meta-Analysis Study Questionnaire to Assess Relevance and Credibility to Inform Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report
    Jansen, Jeroen P., Trikalinos, Thomas, Cappelleri, Joseph C., Daw, Jessica, Andes, Sherry, Eldessouki, Randa, Salanti, Georgia · 2014 · Value in Health
19. Polytomies and Bayesian Phylogenetic Inference
    Paul O. Lewis, Mark T. Holder, Kent E. Holsinger · 2005 · Systematic Biology
20. How to compare cross-lagged associations in a multilevel autoregressive model.
    Noémi Katalin Schuurman, Emilio E. Ferrer, Mieke Sonnenschein, Ellen L. Hamaker · 2016 · Psychological Methods
21. A randomized effectiveness trial of cognitive-behavioral therapy and medication for primary care panic disorder
    Roy-Byrne, Peter P., Craske, Michelle G., Stein, Murray B., Sullivan, Greer, Bystritsky, Alexander, Katon, Wayne, Golinelli, Daniela, Sherbourne, Cathy D. · 2005 · Archives of General Psychiatry
22. Comparing the Similarity of Responses Received from Studies in Amazon’s Mechanical Turk to Studies Conducted Online and with Direct Recruitment
    Bartneck, Christoph, Duenser, Andreas, Moltchanova, Elena, Zawieska, Karolina · 2015 · PLOS ONE
23. Estimation of parameters in complex 15N tracing models by Monte Carlo sampling
    Christoph Müller, Tobias Rütting, Jens Kattge, Ronnie J. Laughlin, Robert J. Stevens · 2006 · Soil Biology and Biochemistry
24. Differential expression in SAGE: accounting for normal between-library variation
    Keith Baggerly, Li Deng, Jeffrey S. Morris, C. Marcelo Aldaz · 2003 · Bioinformatics
25. Ownership forms matter for airport efficiency: a stochastic Frontier investigation of worldwide airports
    Oum, Tae H., Yan, Jia, Yu, Chunyan · 2008 · Journal of Urban Economics
26. The Optimizer’s Curse: Skepticism and Postdecision Surprise in Decision Analysis
    James E. Smith, Robert L. Winkler · 2006 · Management Science
27. Bayesian MCMC flood frequency analysis with historical information
    Dirceu Silveira Reis Junior, Jery Russell Stedinger · 2005 · Journal of Hydrology
28. Impact of dissolved organic carbon, phosphorus, and grazing on phytoplankton biomass and production in experimental lakes
    Stephen R. Carpenter, Jonathan J. Cole, James F. Kitchell, Michael L. Pace · 1998 · Limnology and Oceanography
29. Combining Multiple Imputation and Inverse‐Probability Weighting
    Shaun R. Seaman, Ian R. White, Andrew J Copas, Leah Li · 2011 · Biometrics
30. Bayesian analysis of empirical software engineering cost models
    Sunita Chulani, BARRY W. BOEHM, Bert M. Steece · 1999 · IEEE Transactions on Software Engineering
31. Efficient Construction of Reversible Jump Markov Chain Monte Carlo Proposal Distributions
    Stephen P. Brooks, Paolo Giudici, Gareth O. Roberts · 2003 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
32. A Global Measure of Judicial Independence, 1948–2012
    Drew A. Linzer, Jeffrey K. Staton · 2015 · Journal of Law and Courts
33. Estimating progress towards meeting women’s contraceptive needs in 185 countries: A Bayesian hierarchical modelling study
    Vladimíra Kantorová, Mark Christopher Wheldon, Philipp Ueffing, Aisha Dasgupta · 2020 · PLoS Medicine
34. Metrics for External Model Evaluation with an Application to the Population Pharmacokinetics of Gliclazide
    Karl Brendel, Emmanuelle Comets, Celine Marielle Laffont, Christian Laveille, France Mentré · 2006 · Pharmaceutical Research
35. Coral–macroalgal phase shifts or reef resilience: links with diversity and functional roles of herbivorous fishes on the Great Barrier Reef
    Alistair J. Cheal, M. Aaron MacNeil, Edward Jerrold Cripps, Michael J. Emslie, Michelle J. Jonker, Britta Schaffelke, Hugh P. A. Sweatman · 2010 · Coral Reefs
36. Bayesian inversion for finite fault earthquake source models I—theory and algorithm
    Sarah E. Minson, M. Simons, James L. Beck · 2013 · Geophysical Journal International
37. The cost of inbreeding in Arabidopsis
    Carlos D. Bustamante, Rasmus Nielsen, Stanley A. Sawyer, Kenneth M. Olsen, Michael D. Purugganan, Daniel L. Hartl · 2002 · Nature
38. How cognitive modeling can benefit from hierarchical Bayesian models
    Michael David Lee · 2010 · Journal of Mathematical Psychology
39. tRophicPosition , an r package for the Bayesian estimation of trophic position from consumer stable isotope ratios
    Claudio Quezada‐Romegialli, Andrew L. Jackson, Brian Hayden, Kimmo Kalevi Kahilainen, Christelle Lopes, Chris Harrod · 2018 · Methods in Ecology and Evolution
40. The optimal choice of climate change policy in the presence of uncertainty
    William A. Pizer · 1999 · Resource and Energy Economics
41. Calorie Restriction in Biosphere 2: Alterations in Physiologic, Hematologic, Hormonal, and Biochemical Parameters in Humans Restricted for a 2-Year Period
    Roy L. Walford, Dennis Mock, Roy B. Verdery, Taber MacCallum · 2002 · The Journals of Gerontology Series A
42. A psychometrics of individual differences in experimental tasks
    Jeffrey N. Rouder, Julia M. Haaf · 2019 · Psychonomic Bulletin & Review
43. A tutorial introduction to Bayesian models of cognitive development
    Andrew Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths, Fei Xu · 2011 · Cognition
44. Efficient simulation and integrated likelihood estimation in state space models
    Joshua C. C. Chan, Ivan Jeliazkov · 2009 · International Journal of Mathematical Modelling and Numerical Optimisation
45. Smoothing and mixed models
    MATTHEW P. WAND · 2003 · Computational Statistics
46. Of bits and wows: A Bayesian theory of surprise with applications to attention
    Pierre Baldi, Laurent Itti · 2009 · Neural Networks
47. Convergence Diagnostics for Markov Chain Monte Carlo
    Vivekananda Roy · 2019 · Annual Review of Statistics and Its Application
48. Demonstration of universal parametric entangling gates on a multi-qubit lattice
    Matthew J. Reagor, C. B. Osborn, Nikolas Tezak, Alexa Staley, G. E. D. K. Prawiroatmodjo, Michael G. Scheer, Nasser Alidoust, Eyob Alebachew Sete, Nicolas Didier, Marcus Palmer Da Silva et al. · 2018 · Science Advances
49. Household cooking fuel estimates at global and country level for 1990 to 2030
    Oliver Stoner, Jessica Lewis, Itzel Lucio Martínez, Sophie Gumy, Theo Economou, Heather Adair‐Rohani · 2021 · Nature Communications
50. Comparing dynamic causal models using AIC, BIC and free energy
    Penny, W.D. · 2012 · NeuroImage
51. When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment
    Szucs, Denes, Ioannidis, John P. A. · 2017 · Frontiers in Human Neuroscience
52. Learning hierarchical models of scenes, objects, and parts
    Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky · 2005 · IEEE/CVF International Conference on Computer Vision (ICCV)
53. Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy
    Sharma, Sanjib · 2017 · Annual Review of Astronomy and Astrophysics
54. Bayesian and Hierarchical Bayesian Based Regularization for Deconvolving the Distribution of Relaxation Times from Electrochemical Impedance Spectroscopy Data
    Mohammed B. Effat, Francesco Ciucci A · 2017 · Electrochimica Acta
55. Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling
    Mårten Schultzberg, Bengt Muthén · 2017 · Structural Equation Modeling A Multidisciplinary Journal
56. A machine learning Automated Recommendation Tool for synthetic biology
    Tijana Radivojević, Zak Costello, Kenneth Workman, Hector Garcia Martin · 2020 · Nature Communications
57. A Statistical Model for Multiparty Electoral Data
    Jonathan N. Katz, Gary King · 1999 · American Political Science Review
58. Climate Warming, Marine Protected Areas and the Ocean-Scale Integrity of Coral Reef Ecosystems
    Nicholas A. J. Graham, Tim R. McClanahan, M. Aaron MacNeil, Shaun K. Wilson, Nicholas V. C. Polunin, Simon Jennings, Pascale Chabanet, Susan Clark, Mark D. Spalding, Yves Letourneur et al. · 2008 · PLoS ONE
59. Dynamic capabilities as antecedents of the scope of related diversification: the case of small firm accountancy practices
    Erik Døving, Paul N. Gooderham · 2008 · Strategic Management Journal
60. STRUCTURE AND EVOLUTION OF PRE-MAIN-SEQUENCE CIRCUMSTELLAR DISKS
    Andrea Isella, John M. Carpenter, Anneila I. Sargent · 2009 · The Astrophysical Journal
61. Multilevel data and Bayesian analysis in traffic safety
    Helai Huang, Mohamed A. Abdel-Aty · 2010 · Accident Analysis & Prevention
62. The Power of Single-Nucleotide Polymorphisms for Large-Scale Parentage Inference
    Eric C. Anderson, John Carlos Garza · 2005 · Genetics
63. Applying Generalized Linear Models
    Hanfeng Chen · 1998 · Technometrics
64. A tutorial on approximate Bayesian computation
    Brandon M. Turner, Trisha Van Zandt · 2012 · Journal of Mathematical Psychology
65. Depensation in fish stocks: a hierarchic Bayesian meta-analysis
    Martin C. Liermann, Ray W. Hilborn · 1997 · Canadian Journal of Fisheries and Aquatic Sciences
66. Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art
    André A. Rupp, Jonathan L. Templin · 2008 · Measurement Interdisciplinary Research and Perspectives
67. PyCBC Inference: A Python-based Parameter Estimation Toolkit for Compact Binary Coalescence Signals
    Christopher M. Biwer, Collin D. Capano, Soumi De, M. Cabero, Duncan A. Brown, A. Nitz, V. Raymond · 2019 · Publications of the Astronomical Society of the Pacific
68. Deviance Information Criterion for Comparing Stochastic Volatility Models
    Andreas Berg, Renate Meyer, Jun Yu · 2004 · Journal of Business and Economic Statistics
69. Bayesian Random-Effects Meta-Analysis Using the <b>bayesmeta</b> <i>R</i> Package
    Röver, Christian · 2020 · Journal of Statistical Software
70. Tropical forest dynamics across a rainfall gradient and the impact of an El Niño dry season
    Richard Condit, Salomón Aguilar, Andrés Hernández, Rolando Pérez, Suzanne Loo De Lao, George R. Angehr, Stephen P. Hubbell, Robin B. Foster · 2004 · Journal of Tropical Ecology
71. Probabilistic Tsunami Hazard Analysis: Multiple Sources and Global Applications
    Anita Grezio, Andrey Yu. Babeyko, María Ana Baptista, Jörn Behrens, Antonio Costa, Gareth Davies, Eric L. Geist, Sylfest Glimsdal, Frank I. Gonzalez, Jonathan Griffin et al. · 2017 · Reviews of Geophysics
72. Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
    Sarang Thombre, Zheng Ming Zhao, Henrik Ramm-Schmidt, José M. Vallet García, Tuomo Malkamäki, Sergey Nikolskiy, Toni Hammarberg, Hiski Nuortie, M. Zahidul H. Bhuiyan, Simo Särkkä et al. · 2020 · IEEE Transactions on Intelligent Transportation Systems
73. Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach
    Karl Christoph Klauer · 2009 · Psychometrika
74. A framework for hydrologic classification with a review of methodologies and applications in ecohydrology
    Julian D. Olden, Mark J. Kennard, Bradley James Pusey · 2011 · Ecohydrology
75. A Prospective Study of Chronic Pain after Thoracic Surgery
    Emine O. Bayman, Kalpaj R. Parekh, John C. Keech, Atakan Selte, Timothy J. Brennan · 2017 · Anesthesiology
76. Natural computing for mechanical systems research: A tutorial overview
    Keith Worden, Wieslaw Jerzy Staszewski, James J. Hensman · 2010 · Mechanical Systems and Signal Processing
77. A multispecies occupancy model for two or more interacting species
    Christopher T. Rota, Marco A. R. Ferreira, Roland Kays, Tavis D. Forrester, Elizabeth L. Kalies, William Joseph McShea, Arielle Waldstein Parsons, Joshua J. Millspaugh · 2016 · Methods in Ecology and Evolution
78. Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?
    James M. Flegal, Murali Haran, Galin L. Jones · 2008 · Statistical Science
79. Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity
    Adrian E. Raftery, Michael A. Newton, Jaya M. Satagopan, Pavel N. Krivitsky · 2007
80. Synthesizing multiple data types for biological conservation using integrated population models
    Elise F. Zipkin, Sarah P. Saunders · 2017 · Biological Conservation
81. Bayesian Data Fusion for Adaptable Image Pansharpening
    Dominique Fasbender, Julien Radoux, Patrick Bogaert · 2008 · IEEE Transactions on Geoscience and Remote Sensing
82. The learnability of abstract syntactic principles
    Andrew Perfors, Joshua B. Tenenbaum, Terry Regier · 2010 · Cognition
83. An Empirical Bayes Approach to Mantel‐Haenszel DIF Analysis
    Rebecca Zwick, Dorothy T. Thayer, Charles Lewis · 1999 · Journal of Educational Measurement
84. Capacity of a Diffusion-Based Molecular Communication System With Channel Memory and Molecular Noise
    Massimiliano Pierobon, Ian F. Akyildiz · 2012 · IEEE Transactions on Information Theory
85. Why Inflation Rose and Fell: Policy-Makers' Beliefs and U. S. Postwar Stabilization Policy*
    Giorgio E. Primiceri · 2006 · The Quarterly Journal of Economics
86. Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging
    Xing Guo Tan, William J. Roberts, Jian Li, Petre Stoica · 2010 · IEEE Transactions on Signal Processing
87. Users Polarization on Facebook and Youtube
    Bessi, Alessandro, Zollo, Fabiana, Del Vicario, Michela, Puliga, Michelangelo, Scala, Antonio, Caldarelli, Guido, Uzzi, Brian, Quattrociocchi, Walter · 2016 · PLOS ONE
88. The drift diffusion model as the choice rule in reinforcement learning
    Mads L. Pedersen, Michael J. Frank, Guido Biele · 2016 · Psychonomic Bulletin & Review
89. A guide to state–space modeling of ecological time series
    Marie Auger‐Méthé, Ken B. Newman, Diana J. Cole, Fanny Empacher, Rowenna Gryba, Aaron A. King, Vianey Leos Barajas, Joanna Mills Flemming, Anders Nielsen, Giovanni Petris et al. · 2021 · Ecological Monographs
90. Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
    Alberto Malinverno, Victoria A. Briggs · 2004 · Geophysics
91. Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models
    Samantha Low‐Choy, Rebecca O’Leary, Kerrie Lee Mengersen · 2009 · Ecology
92. BAYSPLINE: A New Calibration for the Alkenone Paleothermometer
    Jessica E. Tierney, Martin P. Tingley · 2018 · Paleoceanography and Paleoclimatology
93. A method for efficiently sampling from distributions with correlated dimensions.
    Brandon M. Turner, Per Benjamin Sederberg, Scott D. Brown, Mark Steyvers · 2013 · Psychological Methods
94. Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses
    Quinn, Kevin M. · 2004 · Political Analysis
95. Learning Bayesian Network Model Structure from Data
    Dimitris Margaritis · 2003
96. Tagommenders
    Shilad Sen, Jesse Vig, John Riedl · 2009 · International World Wide Web Conference (WWW)
97. Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
    Danielle C. M. Belgrave, Raquel Granell, Angela Simpson, John Guiver, Christopher Bishop, Iain Edward Buchan, A. John Henderson, Adnan Čustović · 2014 · PLoS Medicine
98. Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review
    Sanne C. Smid, Daniel McNeish, Milica Miočević, Rens van de Schoot · 2019 · Structural Equation Modeling A Multidisciplinary Journal
99. Geotechnical Engineering Reliability: How Well Do We Know What We Are Doing?
    John T. Christian · 2004 · Journal of Geotechnical and Geoenvironmental Engineering
100. bartMachine: Machine Learning with Bayesian Additive Regression Trees
     Adam D. Kapelner, Justin Bleich · 2016 · Journal of Statistical Software