Model Uncertainty, Data Mining and Statistical Inference

Cited by (1,000)

Items 401–500 of 1,000

1. Effect of landscape diversity and crop management on the control of the millet head miner, Heliocheilus albipunctella (Lepidoptera: Noctuidae) by natural enemies
   Valérie Soti, Ibrahima Thiaw, Zinsou Max Debaly, Ahmadou Sow, Mously Diaw, Fofana Souleymane, Mouhamadou Diakhate, Cheikh Thiaw, Thierry Brévault · 2018 · Biological Control
2. Sources of uncertainty in stream-associated amphibian ecology and responses to forest management in the Pacific Northwest, USA: A review
   Andrew J. Kroll · 2009 · Forest Ecology and Management
3. ON REJECTION RATES OF PAIRED INTERVENTION ANALYSIS: COMMENT
   Allan Stewart‐Oaten · 2003 · Ecology
4. The distribution of estimators after model selection:large and small sample results
   Benedikt M. Pötscher, Andréas Novak · 1998 · Journal of Statistical Computation and Simulation
5. Describing, Resampling, Validating, and Simplifying the Model
   Frank E. Harrell · 2015 · Springer series in statistics
6. Multimodel Inference and Multimodel Averaging in Empirical Modeling of Occupational Exposure Levels
   Jérôme Lavoué, Pierre O. Droz · 2009 · The Annals of Occupational Hygiene
7. On-Farm Relationships Between Agricultural Practices and Annual Changes in Organic Carbon Content at a Regional Scale
   Xavier Dupla, Téo Lemaître, Stéphanie Grand, Karine Gondret, Raphaël Charles, Éric P. Verrecchia, Pascal Boivin · 2022 · Frontiers in Environmental Science
8. Capital Structure Decisions Under Classical and Imputation Tax Systems: A Natural Test for Tax Effects in Australia
   Kerry Pattenden · 2006 · Australian Journal of Management
9. Causal Factor Investing
   Marcos López de Prado · 2023 · Cambridge University Press eBooks
10. Model-Averaged Profile Likelihood Intervals
    David Fletcher, Daniel Turek · 2011 · Journal of Agricultural Biological and Environmental Statistics
11. Highly migratory species predictive spatial modeling (PRiSM): an analytical framework for assessing the performance of spatial fisheries management
    Daniel P. Crear, Tobey H. Curtis, Stephen J. Durkee, John K. Carlson · 2021 · Marine Biology
12. Temporal trends in δ 18 O composition of precipitation in Germany: insights from time series modelling and trend analysis
    Julian Klaus, Kwok Pan Chun, Christine Stumpp · 2014 · Hydrological Processes
13. Applied regression analysis bibliography update 1994-97
    Norman R. Draper · 1998 · Communication in Statistics- Theory and Methods
14. Exploring the Potential for Predicting Project Dispute Resolution Satisfaction Using Logistic Regression
    Sai On Cheung, Tak Wing Yiu, Ho Wai Chan · 2009 · Journal of Construction Engineering and Management
15. Overview of data-synthesis in systematic reviews of studies on outcome prediction models
    Tobias van den Berg, Martijn W. Heymans, Stephanie S. Leone, David Vergouw, Jill Alison Hayden, Arianne Petra Verhagen, Henrica C. W. de Vet · 2013 · BMC Medical Research Methodology
16. The Buddha mushroom: Conservation behavior and the development of institutions in Bhutan
    Jeremy S. Brooks · 2008 · Ecological Economics
17. A note on model uncertainty in linear regression
    Cecı́lia Candolo, Anthony C. Davison, Clarice Garcia Borges Demétrio · 2003 · Journal of the Royal Statistical Society Series D (The Statistician)
18. Statistical model specification and power: recommendations on the use of test-qualified pooling in analysis of experimental data
    Nick Colegrave, Graeme D. Ruxton · 2017 · Proceedings of the Royal Society B Biological Sciences
19. Econometric Modelling of the Aggregate Time‐Series Relationship Between Consumers' Expenditure and Income in the United Kingdom
    David Forbes Hendry, James E. H. Davidson, Frank Srba, S. Yeo · 2000
20. Explaining Forecast Failure in Macroeconomics
    Michael P. Clements, David Forbes Hendry · 2004
21. A Winner's Curse for Econometric Models: On the Joint Distribution of In-Sample Fit and Out-of-Sample Fit and its Implications for Model Selection
    Peter Reinhard Hansen · 2010
22. Energy and reserve scheduling under ambiguity on renewable probability distribution
    Alexandre Moreira, Bruno Fanzeres, Goran Štrbac · 2018 · Electric Power Systems Research
23. Non-analog increases to air, surface, and belowground temperature extreme events due to climate change
    Matthew D. Petrie, John B. Bradford, William K. Lauenroth, Daniel R. Schlaepfer, Caitlin M. Andrews, David M. Bell · 2020 · Climatic Change
24. Soil and landscape factors influence geospatial variation in maize grain zinc concentration in Malawi
    Lester Botoman, Christopher Chagumaira, Abdul‐Wahab Mossa, Tilahun Amede, E. Louise Ander, Elizabeth H. Bailey, Joseph Gregory Chimungu, S. Gameda, Dawd Gashu, Stephan M. Haefele et al. · 2022 · Scientific Reports
25. Systematic underestimation resulting from measurement error in score-based ecological indices
    Emma J. Gorrod, Michael Bedward, David A. Keith, Murray Ellis · 2012 · Biological Conservation
26. Predicting fisheries bycatch: A case study and field test for pilot whales in a pelagic longline fishery
    Lesley H. Thorne, Robin William Baird, Daniel L. Webster, Julia E. F. Stepanuk, Andrew J. Read · 2019 · Diversity and Distributions
27. Prediction of the miRNA interactome – Established methods and upcoming perspectives
    Moritz Schäfer, Constance Ciaudo · 2020 · Computational and Structural Biotechnology Journal
28. A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
    Matthew D. Koslovsky, Kristi Louise Hoffman, Carrie R. Daniel, Marina Vannucci · 2020 · The Annals of Applied Statistics
29. Predicting glaucomatous visual field deterioration through short multivariate time series modelling
    Stephen Swift, Xiaohui Liu · 2002 · Artificial Intelligence in Medicine
30. On the Time‐Series Approach to Econometric Model Building
    David Forbes Hendry · 2000
31. Formal logics of discovery and hypothesis formation by machine
    Petr Hájek, Martin Holeňa · 2003 · Theoretical Computer Science
32. Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies
    Konstantinos Kokkinos, Vayos Karayannis · 2020 · Mathematics
33. Determinants of Survival in Older Adults With Congenital Heart Disease Newly Hospitalized for Heart Failure
    Fei Wang, Aihua Liu, James M. Brophy, Sarah Cohen, Michał Abrahamowicz, Gilles Paradis, Ariane J. Marelli · 2020 · Circulation Heart Failure
34. Introduction
    Frank E. Harrell · 2015 · Springer series in statistics
35. “The wrong tools for the right job”: a critical meta-analysis of traditional tests to assess behavioural impacts of maternal separation
    Olivia Stupart, Trevor William Robbins, Jeffrey W. Dalley · 2022 · Psychopharmacology
36. AI Ethics in Higher Education: Insights from Africa and Beyond
    Caitlin C. Corrigan, Simon Atuah Asakipaam, Jerry John Kponyo, Christoph Luetge · 2023 · SpringerBriefs in ethics
37. Predictive Multiplicity in Probabilistic Classification
    Watson-Daniels, Jamelle, Parkes, David C., Ustun, Berk · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
38. The effects of constraining variables on parameter optimization in carbon and water flux modeling over different forest ecosystems
    Min Liu, Honglin He, Xiaoli Ren, Xiaomin Sun, Guirui Yu, Shijie Han, Huimin Wang, Guoyi Zhou · 2015 · Ecological Modelling
39. Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC
    Ioannis Ntzoufras, Athanassios Katsis, Dimitris Karlis · 2005 · North American Actuarial Journal
40. Stochastic coherency in forecast reconciliation
    Kandrika Fadhlan Pritularga, Ivan Svetunkov, Nikolaos Kourentzes · 2021 · International Journal of Production Economics
41. The predictive performance of commodity futures risk factors
    Shamim Ahmed, Daniel Tsvetanov · 2016 · Journal of Banking & Finance
42. Crown condition as a function of soil, site and tree characteristics
    Monica Musio, Klaus V. Wilpert, Nicole Helene Augustin · 2006 · European Journal of Forest Research
43. Earthquake forecasting from paleoseismic records
    Ting Wang, Jonathan Griffin, Marco Brenna, David Fletcher, Jiaxu Zeng, Mark Stirling, Peter W. Dillingham, Jie Kang · 2024 · Nature Communications
44. Model-averaged confidence intervals for factorial experiments
    David Fletcher, Peter W. Dillingham · 2011 · Computational Statistics & Data Analysis
45. 25 years of Bayesian methods in the pharmaceutical industry: a personal, statistical bummel
    Andrew P. Grieve · 2007 · Pharmaceutical Statistics
46. A fast malware feature selection approach using a hybrid of multi‐linear and stepwise binary logistic regression
    Shamsul Huda, Jemal Abawajy, Mali Abdollahian, Rafiqul Islam, John L. Yearwood · 2016 · Concurrency and Computation Practice and Experience
47. Residual mass histology in testicular cancer: development and validation of a clinical prediction rule
    Ewout Willem Steyerberg, Yvonne Vergouwe, H.J. Keizer, J. Dik F. Habbema, for the ReHiT study group · 2001 · Statistics in Medicine
48. Life-expectancy projection by modelling and computer simulation (UKPDS 46)
    Richard Stevens, Amanda Adler, Alastair McIntosh Gray, Andrew H. Briggs, Rury R. Holman · 2000 · Diabetes Research and Clinical Practice
49. How to construct regression models for observational studies (and how NOT to do it!)
    Kevin E. Thorpe · 2017 · Canadian Journal of Anesthesia/Journal canadien d anesthésie
50. Spatial and temporal variability of forest fires in the Republic of Korea over 1991–2020
    J. Kim, Taehyun Kim, Ye-Eun Lee, Sangjun Im · 2025 · Natural Hazards
51. Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable
    Lukáš Gábor, Walter Jetz, Alejandra Zarzo‐Arias, Kevin Winner, Scott W. Yanco, Stefan Pinkert, Charles J. Marsh, Matthew S. Rogan, Jussi Mäkinen, Duccio Rocchini et al. · 2023 · Ecography
52. A method for determining weights for excess relative risk and excess absolute risk when applied in the calculation of lifetime risk of cancer from radiation exposure
    Linda Walsh, Uwe Schneider · 2012 · Radiation and Environmental Biophysics
53. From the ‘econometrics of capital punishment’ to the ‘capital punishment’ of econometrics: on the use and abuse of sensitivity analysis
    Hashem Dezhbakhsh, Paul H. Rubin · 2010 · Applied Economics
54. Bayesian Variable Selection for Multistate Markov Models with Interval-censored Data in an Ecological Momentary Assessment Study of Smoking Cessation
    Matthew D. Koslovsky, Michael D. Swartz, Wenyaw Chan, Luis León‐Novelo, Anna V. Wilkinson, Darla E. Kendzor, Michael S. Businelle · 2017 · Biometrics
55. Why the Provenance of Data Matters: Assessing Fitness for Purpose for Environmental Data
    Paul H. Whitfield · 2012 · Canadian Water Resources Journal / Revue canadienne des ressources hydriques
56. Requirements for effective modelling strategies
    John L. Gaunt, Janet Riley, A. Stein, F.W.T. Penning de Vries · 1997 · Agricultural Systems
57. Validation and Calibration of the Kabi Pharmacia International Growth Study Prediction Model for Children with Idiopathic Growth Hormone Deficiency
    Maria A. J. de Ridder, Theo Stijnen, Anita Hokken-Koelega · 2003 · The Journal of Clinical Endocrinology & Metabolism
58. Data Split Strategiesfor Evolving Predictive Models
    Vikas Chandrakant Raykar, Amrita Saha · 2015 · Lecture notes in computer science
59. A Systematic Approach to Hydrogeological Conceptual Model Testing, Combining Remote Sensing and Geophysical Data
    Trine Enemark, Luk J. M. Peeters, Dirk Mallants, Brady Adams Flinchum, Okke Batelaan · 2020 · Water Resources Research
60. Cluster expansions in multicomponent systems: precise expansions from noisy databases
    A. Dı́az-Ortiz, H. Dosch, Ralf Drautz · 2007 · Journal of Physics Condensed Matter
61. Shaping up model transferability and generality of species distribution modeling for predicting invasions: implications from a study on Bythotrephes longimanus
    Lifei Wang, Donald A. Jackson · 2014 · Biological Invasions
62. On the Practical Art of State Definitions for Markov Decision Process Construction
    William T. Scherer, Stephen Adams, Peter A. Beling · 2018 · IEEE Access
63. Julian Huxley and the quantification of relative growth
    Gary C. Packard · 2019 · Zoomorphology
64. Investigation about a screening step in model selection
    Willi Sauerbrei, Norbert Holländer, Anika Buchholz · 2008 · Statistics and Computing
65. Model Selection for Two View Geometry:A Review
    Philip H. S. Torr · 1999 · Lecture notes in computer science
66. Corruption and governance around the world: An empirical investigation
    Harry Seldadyo · 2008 · University of Groningen research database (University of Groningen / Centre for Information Technology)
67. Predicting Sport-related mTBI Symptom Resolution Trajectory Using Initial Clinical Assessment Findings: A Retrospective Cohort Study
    Joshua P. McGeown, Stephen Kara, Mark L. Fulcher, Hannah Crosswell, Robert Borotkanics, Patria Anne Hume, Kenneth Lincoln Quarrie, Alice Theadom · 2019 · Sports Medicine
68. Approximations for the Lead Time Variance: a Forecasting and Inventory Evaluation
    Patrick Saoud, Nikolaos Kourentzes, John E. Boylan · 2022 · Omega
69. Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes
    F. Collart, O. Broennimann, A. Guisan, A. Vanderpoorten · 2023 · Ecography
70. Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets
    Shigeki Kishi, Jianqiang Sun, Akira Kawaguchi, Sunao Ochi, Megumi Yoshida, Takehiko Yamanaka · 2023 · Royal Society Open Science
71. Recent decade expansion of aquatic vegetation covering in china's lakes
    Zhen Xing Cao, Yuchao Zhang, Zhaomin Liu, Baohua Guan, Lai Lai, Qiduo Yang, Xi Chen · 2024 · Ecological Indicators
72. Viewpoint: model selection uncertainty, pre-specification, and model averaging
    Björn Bornkamp · 2015 · Pharmaceutical Statistics
73. Predicting the type of pregnancy using artificial neural networks and multinomial logistic regression: a comparison study
    Seyed Mahdi Sadat-Hashemi, Anoshirvan Kazemnejad, Caro Lucas, Kambiz Badie · 2004 · Neural Computing and Applications
74. Tomada de decisão em futuros agropecuários com modelos de previsão de séries temporais
    Aureliano Angel Bressan · 2004 · RAE eletrônica
75. Improving Transboundary Maps of Potential Natural Vegetation Using Statistical Modeling Based on Environmental Predictors
    Hagen S. Fischer, Susanne Winter, Ernst Lohberger, Hans Jehl, Anton Fischer · 2013 · Folia Geobotanica
76. Applying Bayesian Model Averaging for Quantile Estimation in Accelerated Life Tests
    I‐Tang Yu, Che‐Lun Chang · 2012 · IEEE Transactions on Reliability
77. Actors, actions, and uncertainties: optimizing decision-making based on 3-D structural geological models
    Fabian Antonio Stamm, Miguel de la Varga, Florian Wellmann · 2019 · Solid Earth
78. Estimation of the mean of a univariate normal distribution when the variance is not known
    Dmitri L. Danilov · 2005 · Econometrics Journal
79. The Validation of Toxicological Prediction Models
    Graeme E. Archer, Michael Balls, Leon H. Bruner, Rodger D. Curren, FENTEM Julia helen, Hermann−Georg Holzhütter, Manfred Liebsch, David Paul Lovell, Jacqueline A. Southee · 1997 · Alternatives to Laboratory Animals
80. Testing Dynamic Specification in Small Simultaneous Systems: An Application to a Model of Building Society Behaviour in the United Kingdom
    David Forbes Hendry, Gordon John Anderson · 2000
81. Bayesian model assessment and selection using expected utilities
    Aki Vehtari · 2001 · Aaltodoc (Aalto University)
82. Consumers’ Purchase Intentions Towards New Energy Vehicles Based on the Theory of Planned Behaviour on Perceived Value: An Empirical Survey of China
    Xiaofang Hu, Raja Nerina Raja Yusof, Zuraina Dato Mansor · 2025 · World Electric Vehicle Journal
83. Pharmacometrics meets statistics—A synergy for modern drug development
    Yevgen V. Ryeznik, Oleksandr Sverdlov, Elin M. Svensson, Grace Montepiedra, Andrew C. Hooker, Weng Kee Wong · 2021 · CPT Pharmacometrics & Systems Pharmacology
84. Robust drivers of Bitcoin price movements: An extreme bounds analysis
    Walid M.A. Ahmed · 2022 · The North American Journal of Economics and Finance
85. Modeling the establishment of invasive species: habitat and biotic interactions influencing the establishment of Bythotrephes longimanus
    Lifei Wang, Donald A. Jackson · 2011 · Biological Invasions
86. Bayesian Nonlinear Finite Element Model Updating of a Full-Scale Bridge-Column Using Sequential Monte Carlo
    Mukesh Kumar Ramancha, Rodrigo Astroza, Joel P. Conte, José I. Restrepo, Michael D. Todd · 2020 · Conference proceedings of the Society for Experimental Mechanics
87. Drift dynamics in microbial communities and the effective community size
    William T. Sloan, Chioma Frances Agatha Nnaji, Mary Lunn, Thomas Peter Curtis, Sean D. Colloms, Jillian M. Couto, Ameet J. Pinto, Stephanie Connelly, Susan J. Rosser · 2021 · Environmental Microbiology
88. Quantifying the curvilinear metabolic scaling in mammals
    Gary C. Packard · 2015 · Journal of Experimental Zoology Part A Ecological Genetics and Physiology
89. Evaluation of four modelling techniques to predict the potential distribution of ticks using indigenous cattle infestations as calibration data
    Petr Zeman, Godelieve Lynen · 2006 · Experimental and Applied Acarology
90. Intelligence and past use of recreational drugs
    Daniel R. Wilmoth · 2011 · Intelligence
91. Advancing Synthetic Ecology: A Database System to Facilitate Complex Ecological Meta‐Analyses
    V. Bala Chaudhary, Lawrence L. Walters, James D. Bever, Jason D. Hoeksema, Gail W. T. Wilson · 2010 · Bulletin of the Ecological Society of America
92. Predicting Juvenile Offending
    Rebecca Pei-Hui Ang, Dion Hoe‐Lian Goh · 2011 · International Journal of Offender Therapy and Comparative Criminology
93. Die Bedeutung der Itemauswahl und der Modellwahl für die längsschnittliche Erfassung von Kompetenzen
    Alexander Robitzsch, Tobias Dörfler, Maximilian Pfost, Cordula Artelt · 2011 · Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie
94. A computational approach to compare regression modelling strategies in prediction research
    Romin Pajouheshnia, Wiebe R. Pestman, Steven Teerenstra, Rolf H. H. Groenwold · 2016 · BMC Medical Research Methodology
95. Automatic model selection: a new instrument for social science
    David Forbes Hendry, Hans‐Martin Krolzig · 2004 · Electoral Studies
96. Revisiting Aggregate U.S. Meat Demand with a Bayesian Averaging of Classical Estimates Approach: Do We Need a More General Theory?
    Henry L. Bryant, George C. Davis · 2007 · American Journal of Agricultural Economics
97. Understanding the effects of developer activities on inspection interval
    Adam Porter, Harvey P. Siy, Lawrence G. Votta · 1997 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
98. SAGE-GROUSE AND THE HUMAN FOOTPRINT: IMPLICATIONS FOR CONSERVATION OF SMALL AND DECLINING POPULATIONS
    Jason D. Tack · 2009 · The Mathematics Enthusiast
99. Uncertainty in phosphorus fluxes and budgets across the US long‐term agroecosystem research network
    Pauline Welikhe, Mark R. Williams, Kevin W. King, Janae Bos, Mark J. Akland, Claire Baffaut, Ennis G. Beck, Andrew M. Bierer, David Dean Bosch, Erin S. Brooks et al. · 2023 · Journal of Environmental Quality
100. Effects of dating errors on nonparametric trend analyses of speleothem time series
     Manfred Mudelsee A, Jens Fohlmeister, Denis Scholz · 2012 · Climate of the past