Bayesian Data Analysis

Cited by (1,150)

Items 201–300 of 1,150

1. Bayesian inference in ecology
   Aaron M. Ellison · 2004 · Ecology Letters
2. Deformable Model Fitting by Regularized Landmark Mean-Shift
   Saragih, Jason M., Lucey, Simon, Cohn, Jeffrey F. · 2011 · International Journal of Computer Vision
3. Global patterns of kelp forest change over the past half-century.
   Krumhansl, Kira A., Okamoto, Daniel K., Rassweiler, Andrew, Novak, Mark, Bolton, John J., Cavanaugh, Kyle C., Connell, Sean D., Johnson, Craig R., Konar, Brenda, Ling, Scott D. et al. · 2016 · Proceedings of the National Academy of Sciences
4. A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research
   Rens van de Schoot, David E. Kaplan, Jaap J. A. Denissen, Jens B. Asendorpf, Franz Josef Neyer, Marcel A. G. van Aken · 2013 · Child Development
5. Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm
   George A. Kuczera, Éric Parent · 1998 · Journal of Hydrology
6. Randomized Phase II Study of Gemcitabine and Docetaxel Compared With Gemcitabine Alone in Patients With Metastatic Soft Tissue Sarcomas: Results of Sarcoma Alliance for Research Through Collaboration Study 002
   Robert G. Maki, J. Kyle Wathen, SHREYASKUMAR R. PATEL, Dennis A. Priebat, Scott H. Okuno, Brian L. Samuels, Michael Paul Fanucchi, David C. Harmon, Scott M. Schuetze, Denise K. Reinke et al. · 2007 · Journal of Clinical Oncology
7. Bayesian statistical analysis of protein side‐chain rotamer preferences
   Roland L. Dunbrack, Fred E. Cohen · 1997 · Protein Science
8. Bayesian classification with Gaussian processes
   Christopher K. I. Williams, David Barber · 1998 · IEEE Transactions on Pattern Analysis and Machine Intelligence
9. Bayesian Analysis for the Social Sciences
   Simon D. Jackman · 2009 · Wiley series in probability and statistics
10. Bayesian Methods for Ecology
    Michael Andrew Mccarthy · 2007 · Cambridge University Press eBooks
11. Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach
    Stephanie T. Lanza, Xianming M. Tan, Bethany Cara Bray · 2013 · Structural Equation Modeling A Multidisciplinary Journal
12. Untitled work
    2004 · 10.1177/0049124103262065
13. Ordinal Regression Models in Psychology: A Tutorial
    Bürkner, Paul-Christian, Vuorre, Matti · 2019 · Advances in Methods and Practices in Psychological Science
14. Constructing Probability Boxes and Dempster-Shafer Structures
    Scott A. Ferson, VLADIK KREINOVICK, Lev R. Ginzburg, FARI SENTZ · 2003
15. Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
    Simo Särkkä, Aapo R. Nummenmaa · 2009 · IEEE Transactions on Automatic Control
16. EXOFAST: A Fast Exoplanetary Fitting Suite in IDL
    Jason D. Eastman, B. Scott Gaudi, Eric Agol · 2013 · Publications of the Astronomical Society of the Pacific
17. Considering context, place, and culture: the national Latino and Asian American study
    Alegria, Margarita, Takeuchi, David, Canino, Glorisa, Duan, Naihua, Shrout, Patrick, Meng, Xiao‐Li, Vega, William, Zane, Nolan, Vila, Doryliz, Woo, Meghan et al. · 2004 · International Journal of Methods in Psychiatric Research
18. The ATLAS3D project – XV. Benchmark for early-type galaxies scaling relations from 260 dynamical models: mass-to-light ratio, dark matter, Fundamental Plane and Mass Plane
    Michele Cappellari, Nicholas Scott, Katherine Alatalo, Leo Blitz, Maxime Bois, F. Bournaud, Martin Bureau, Alison Crocker, Roger L. Davies, Timothy A. Davis et al. · 2013 · Monthly Notices of the Royal Astronomical Society
19. A Model of Inductive Bias Learning
    Jonathan Baxter · 2000
20. Bayesian Filtering and Smoothing
    Simo Srkk · 2013
21. The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration
    Daniel McNeish, Laura M. Stapleton · 2014 · Educational Psychology Review
22. Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
    Sophia Rabe‐Hesketh, Anders Skrondal, Andrew R. Pickles · 2004 · Journal of Econometrics
23. Estimating population structure in diploids with multilocus dominant DNA markers
    Животовский Лев Анатольевич · 1999 · Molecular Ecology
24. Verification, validation, and predictive capability in computational engineering and physics
    William L. Oberkampf, T.G. Trucano, Charles J. Hirsch · 2004 · Applied Mechanics Reviews
25. Computing Bayes factors using thermodynamic integration.
    Lartillot, Nicolas, Philippe, Hervé · 2006 · Systematic Biology
26. Less than 2 °C warming by 2100 unlikely
    Adrian E. Raftery, Alec Zimmer, Dargan M. W. Frierson, Richard Startz, Peiran Liu · 2017 · Nature Climate Change
27. abc: an R package for approximate Bayesian computation (ABC)
    Katalin Csilléry, Olivier François, Michaël G. B. Blum · 2012 · Methods in Ecology and Evolution
28. Philosophy and the practice of Bayesian statistics
    Andrew Gelman, Cosma Rohilla Shalizi · 2010
29. Respect for Human Rights has Improved Over Time: Modeling the Changing Standard of Accountability
    FARISS, CHRISTOPHER J. · 2014 · American Political Science Review
30. Markov Chain Monte Carlo in Practice: A Roundtable Discussion
    Robert E. Kass, Bradley P. Carlin, Andrew Gelman, Radford M. Neal · 1998 · The American Statistician
31. Domestic Audience Costs in International Relations: An Experimental Approach
    Michael R. Tomz · 2007 · International Organization
32. Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
    Qi Wei, José M. Bioucas‐Dias, Nicolas Dobigeon, Jean‐Yves Tourneret · 2015 · IEEE Transactions on Geoscience and Remote Sensing
33. Number Sense Growth in Kindergarten: A Longitudinal Investigation of Children at Risk for Mathematics Difficulties
    Nancy C. Jordan, David E. Kaplan, Leslie Nabors Oláh, Maria N. Locuniak · 2006 · Child Development
34. Statistical Models for Text Segmentation
    Doug Beeferman, Adam L. Berger, John Lafferty · 1999 · Machine Learning
35. The ATLAS3D project – XX. Mass–size and mass–σ distributions of early-type galaxies: bulge fraction drives kinematics, mass-to-light ratio, molecular gas fraction and stellar initial mass function
    Michele Cappellari, Richard M. McDermid, Katherine Alatalo, Leo Blitz, Maxime Bois, F. Bournaud, Martin Bureau, Alison Crocker, Roger L. Davies, Timothy A. Davis et al. · 2013 · Monthly Notices of the Royal Astronomical Society
36. Analysis of Electrochemical Impedance Spectroscopy Data Using the Distribution of Relaxation Times: A Bayesian and Hierarchical Bayesian Approach
    Francesco Ciucci A, Chi Chen · 2015 · Electrochimica Acta
37. Comparing families of dynamic causal models
    Penny, Will D., Stephan, Klaas E., Daunizeau, Jean, Rosa, Maria J., Friston, Karl J., Schofield, Thomas M., Leff, Alex P. · 2010 · PLoS Computational Biology
38. Algorithmic Fairness: Choices, Assumptions, and Definitions
    Mitchell, Shira, Potash, Eric, Barocas, Solon, D'Amour, Alexander, Lum, Kristian · 2021 · Annual Review of Statistics and Its Application
39. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
    Christopher K. I. Williams · 1998 · Springer eBooks
40. Percutaneous Left Atrial Appendage Closure for Stroke Prophylaxis in Patients With Atrial Fibrillation
    Vivek Yerrapu Reddy, Shephal K. Doshi, Horst Sievert, Maurice Buchbinder, Petr Neužil, Kenneth Huber, Jonathan L. Halperin, David R. Holmes · 2013 · Circulation
41. Statistics, Handle with Care: Detecting Multiple Model Components with the Likelihood Ratio Test
    Rostislav S. Protassov, David A. van Dyk, Alanna Connors, Vinay L. Kashyap, Aneta Siemiginowska · 2002 · The Astrophysical Journal
42. Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement
    Joshua Nathaniel Cobb, Genevieve DeClerck, Anthony J. Greenberg, Randy Clark, Susan R. McCouch · 2013 · Theoretical and Applied Genetics
43. A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials
    Faria, Rita, Gomes, Manuel, Epstein, David, White, Ian R. · 2014 · PharmacoEconomics
44. Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
    Neil David Lawrence · 2003
45. Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation
    B. Marcot, J. D. Steventon, G. Sutherland, Robert K. Mccann · 2006 · Canadian Journal of Forest Research
46. Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies
    Savović, J, Jones, HE, Altman, DG, Harris, RJ, Jűni, P, Pildal, J, Als-Nielsen, B, Balk, EM, Gluud, C, Gluud, LL et al. · 2012 · Health Technology Assessment
47. The discovery of structural form
    Charles Kemp, Joshua B. Tenenbaum · 2008 · Proceedings of the National Academy of Sciences
48. Climate and Conflict
    Burke, Marshall, Hsiang, Solomon M., Miguel, Edward · 2015 · Annual Review of Economics
49. The geography of biodiversity change in marine and terrestrial assemblages
    S. Blowes, S. Supp, L. Antão, A. Bates, H. Bruelheide, Jonathan M. Chase, Faye Moyes, A. Magurran, B. McGill, I. Myers-Smith et al. · 2019 · Science
50. Loss function‐based evaluation of DSGE models
    Frank Schorfheide · 2000 · Journal of Applied Econometrics
51. Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
    Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R T Witschey, John A. Detre, Paris G. Perdikaris · 2019 · Computer Methods in Applied Mechanics and Engineering
52. The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
    David M. Blei, Thomas L. Griffiths, Michael I. Jordan · 2010 · Journal of the ACM
53. Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold
    James F. Cavanagh, Thomas V. Wiecki, Michael X Cohen, Christina M. Figueroa, Johan Samanta, Scott J. Sherman, Michael J. Frank · 2011 · Nature Neuroscience
54. A hierarchical Bayesian meta-analysis of randomised clinical trials of drug-eluting stents
    Mohan N. Babapulle, Lawrence Joseph, Patrick Bélisle, James M. Brophy, Mark Jeffrey Eisenberg · 2004 · The Lancet
55. Multiple Imputation with Diagnostics (mi) inR: Opening Windows into the Black Box
    Yu‐Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima · 2011 · Journal of Statistical Software
56. Bayesian mediation analysis.
    Ying Yuan, David P. MacKinnon · 2009 · Psychological Methods
57. Spatial Models of Parliamentary Voting
    Keith T. Poole · 2005 · Cambridge University Press eBooks
58. Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel.
    Dave Kleinschmidt, T. Florian Jaeger · 2015 · Psychological Review
59. Decontamination of ambient RNA in single-cell RNA-seq with DecontX
    Yang, Shiyi, Corbett, Sean E., Koga, Yusuke, Wang, Zhe, Johnson, W Evan, Yajima, Masanao, Campbell, Joshua D. · 2020 · Genome Biology
60. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
    Lu, Guobing, Ades, A. E · 2006 · Journal of the American Statistical Association
61. The Deviance Information Criterion: 12 Years on
    David J. Spiegelhalter, Nicola G. Best, Bradley P. Carlin, Angelika van der Linde · 2014 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
62. A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering
    Andrea Arcuri, Lionel Briand · 2012 · Software Testing Verification and Reliability
63. A Meta-Analysis of Time-Series Studies of Ozone and Mortality With Comparison to the National Morbidity, Mortality, and Air Pollution Study
    Michelle Lee Bell, Francesca Dominici, Jonathan M. Samet · 2005 · Epidemiology
64. The fallacy of placing confidence in confidence intervals
    Morey, Richard D., Hoekstra, Rink, Rouder, Jeffrey N., Lee, Michael D., Wagenmakers, Eric-Jan · 2016 · Psychonomic Bulletin & Review
65. Detecting Population Expansion and Decline Using Microsatellites
    Mark Beaumont · 1999 · Genetics
66. Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses
    Nathan P. Lemoine · 2019 · Oikos
67. Parameter estimation for differential equations: a generalized smoothing approach
    Ramsay, J. O., Hooker, G., Campbell, D., Cao, J. · 2007 · Journal of the Royal Statistical Society Series B: Statistical Methodology
68. A Review of Domain Adaptation without Target Labels
    Kouw, Wouter M., Loog, Marco · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
69. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men.
    Bao-Ling Adam, Yinsheng Qu, John W. Davis, Michael D Ward, Mary Ann Clements, Lisa H. Cazares, Oliver John Semmes, Paul F Schellhammer, Yutaka Yasui, Ziding Feng et al. · 2002 · PubMed
70. Impact of Recent Increase in Incidence on Future Diabetes Burden
    Narayan, K.M. Venkat, Boyle, James P., Geiss, Linda S., Saaddine, Jinan B., Thompson, Theodore J. · 2006 · Diabetes Care
71. A tutorial on Bayesian nonparametric models
    Samuel Joseph Gershman, David M. Blei · 2011 · Journal of Mathematical Psychology
72. Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles
    Claudia Tebaldi, Richard L. Smith, Douglas W. Nychka, Linda O. Mearns · 2005 · Journal of Climate
73. MCMCpack : Markov Chain Monte Carlo in R
    Andrew D. Martin, Kevin M. Quinn, Jong Hee Park · 2011 · Journal of Statistical Software
74. Randomization, Bootstrap and Monte Carlo Methods in Biology
    1998 · Technometrics
75. Guidelines for a graph‐theoretic implementation of structural equation modeling
    James B. Grace, Donald R. Schoolmaster, Glenn R. Guntenspergen, Amanda Little, BRIAN R. MITCHELL, Kathryn M. Miller, E. William Schweiger · 2012 · Ecosphere
76. Struggles with Survey Weighting and Regression Modeling
    Gelman, Andrew · 2007 · Statistical Science
77. Bayesian parameter estimation via variational methods
    Tommi Jaakkola, Michael I. Jordan · 2000 · Statistics and Computing
78. A comparison of Bayesian and likelihood-based methods for fitting multilevel models
    Browne, William J., Draper, David · 2006 · Bayesian Analysis
79. Association of Minimal Residual Disease With Clinical Outcome in Pediatric and Adult Acute Lymphoblastic Leukemia
    Donald A. Berry, Shouhao Zhou, Howard R. Higley, Lata Mukundan, Shuangshuang Fu, Gregory H. Reaman, Brent Lee Wood, Gary J. Kelloff, John Milburn Jessup, Jerald P. Radich · 2017 · JAMA Oncology
80. ProFound: An Expert System for Protein Identification Using Mass Spectrometric Peptide Mapping Information
    Wenzhu Zhang, Brian T. Chait · 2000 · Analytical Chemistry
81. Differential Evolution Markov Chain with snooker updater and fewer chains
    Cajo J. F. ter Braak, Jasper Alexander Vrugt · 2008 · Statistics and Computing
82. Conception, early pregnancy loss, and time to clinical pregnancy: a population-based prospective study
    Xiaobin Wang, Changzhong Chen, Lihua Wang, Dafang Chen, Wenwei Guang, Jonathan L French · 2003 · Fertility and Sterility
83. Maternal obesity and risk of cesarean delivery: a meta‐analysis
    Susan Y. Chu, S. Y. Kim, Christopher H. Schmid, Patricia M. Dietz, William M. Callaghan, J. Lau, Kathryn M. Curtis · 2007 · Obesity Reviews
84. Basic methods for sensitivity analysis of biases.
    S. Greenland · 1996 · International Journal of Epidemiology
85. Estimating Trait-Dependent Speciation and Extinction Rates from Incompletely Resolved Phylogenies
    Richard G. FitzJohn, Wayne P. Maddison, Sarah Perin Otto · 2009 · Systematic Biology
86. National, regional, and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis
    Leontine Alkema, Vladimíra Kantorová, Clare Menozzi, Ann Biddlecom · 2013 · The Lancet
87. Bayes factor approaches for testing interval null hypotheses.
    Richard Donald Morey, Jeffrey N. Rouder · 2011 · Psychological Methods
88. Who Learns from What in Policy Diffusion Processes?
    Fabrizio Gilardi · 2010 · American Journal of Political Science
89. Reputation-based framework for high integrity sensor networks
    Saurabh Ganeriwal, Mani B. Srivastava · 2004 · Security of ad hoc and Sensor Networks
90. Measuring and testing the steepness of dominance hierarchies
    Han DE VRIES, Jeroen M. G. Stevens, Hilde Vervaecke · 2006 · Animal Behaviour
91. Mathematics for Machine Learning
    Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong · 2020 · Cambridge University Press eBooks
92. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
    Dmitri Kavetski, George A. Kuczera, Stewart William Franks · 2006 · Water Resources Research
93. Excess forest mortality is consistently linked to drought across Europe
    Cornelius Senf, Allan Buras, Christian Zang, Anja Rammig, Rupert Seidl · 2020 · Nature Communications
94. Phylogenetic estimation error can decrease the accuracy of species delimitation: a Bayesian implementation of the general mixed Yule-coalescent model
    Noah M. Reid, Bryan C. Carstens · 2012 · BMC Evolutionary Biology
95. Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers
    Wouter Scheper, Sander Kelderman, Lorenzo F. Fanchi, Carsten Linnemann, Gavin M. Bendle, Marije A. J. de Rooij, Christian Hirt, Riccardo Mezzadra, Maarten Slagter, Krijn Kristian Dijkstra et al. · 2018 · Nature Medicine
96. Fisheries stock assessment and decision analysis: the Bayesian approach
    André Eric Punt, RAY HILBORN · 1997 · Reviews in Fish Biology and Fisheries
97. A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
    Galit Shmueli A, Thomas P. Minka, Joseph Born Kadane, Sharad Borle, Peter Boatwright · 2004 · Journal of the Royal Statistical Society Series C (Applied Statistics)
98. At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study
    Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., Muthén, B. · 2018 · Multivariate Behavioral Research
99. The EM Algorithm—an Old Folk-song Sung to a Fast New Tune
    Meng, Xiao-Li, Van Dyk, David · 1997 · Journal of the Royal Statistical Society Series B: Statistical Methodology
100. A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
     Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani V. Anttila, Miguel B. Araújo, Tad Dallas, David B. Dunson, Jane Elith et al. · 2019 · Ecological Monographs