Model uncertainty, data mining and statistical inference

Cited by (1,000)

Items 601–700 of 1,000

1. A Comparison of Two Strategies for Building an Exposure Prediction Model
   Marina Heiden, Svend Erik Mathiassen, Jennifer L. Bruno Garza, Per Liv, Jens ­Wahlström · 2015 · The Annals of Occupational Hygiene
2. Statistical Methods for Data Mining
   Yoav Benjamini, Moshe Leshno · 2006 · Springer eBooks
3. A Multiobjective Exploratory Procedure for Regression Model Selection
   Ankur Sinha, Pekka Malo, Timo Kuosmanen · 2014 · Journal of Computational and Graphical Statistics
4. Assessment of resource selection models to predict occurrence of five juvenile flatfish species (Pleuronectidae) over the continental shelf in the western Gulf of Alaska
   Matthew T. Wilson, Kathryn L. Mier, Dan W. Cooper · 2015 · Journal of Sea Research
5. Which dogs with appendicular osteosarcoma benefit most from chemotherapy after surgery? Results from an individual patient data meta-analysis
   Amand Floriaan Schmidt, Rolf H. H. Groenwold, Pierre M. Amsellem, Nicholas J. Bacon, Olaf H. Klungel, Arno Wilhelmus Hoes, Anthonius de Boer, Kelvin Y. Kow, Karl C. Maritato, Jolle Kirpensteijn et al. · 2015 · Preventive Veterinary Medicine
6. A COMPARATIVE STUDY BETWEEN ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE FOR ACUTE CORONARY SYNDROME PROGNOSIS
   Rodrigo Abrunhosa Collazo, Leonardo Antonio Monteiro Pessôa, Laura Bahiense, Basílio de Bragança Pereira, Amália Faria dos Reis, Nelson Albuquerque de Souza e Silva · 2016 · Pesquisa Operacional
7. Income Inequality and County Economic Resistance to Job Loss during the Great Recession
   Mallory L. Rahe, Bruce A. Weber, Xiurou Wu, Monica Fisher · 2019 · Review of Regional Studies
8. Exploring the Multiverse of Analytical Decisions in Scaling Educational Large-Scale Assessment Data: A Specification Curve Analysis for PISA 2018 Mathematics Data
   Alexander Robitzsch · 2022 · European Journal of Investigation in Health Psychology and Education
9. STATISTICAL MISSPECIFICATION AND THE RELIABILITY OF INFERENCE: THE SIMPLE T-TEST IN THE PRESENCE OF MARKOV DEPENDENCE
   Aris Spanos · 2009 · RePEc: Research Papers in Economics
10. Model Building in Economics: Its Purposes And Limitations
    Lawrence A. Boland · 2014
11. On the Formulation of Empirical Models in Dynamic Econometrics
    David Forbes Hendry, Jean‐François Richard · 2000
12. Network Traffic Prediction Based on Wavelet Transform and Season ARIMA Model
    Yongtao Wei, Jinkuan Wang, Cuirong Wang · 2011 · Lecture notes in computer science
13. Bayesian multimodel inference for dose-response studies
    William A. Link, Peter H. Albers · 2007 · Environmental Toxicology and Chemistry
14. The Econometric Analysis of Economic Time Series
    David Forbes Hendry, Jean‐François Richard · 2000
15. North American Breeding Bird Survey status and trend estimates to inform a wide-range of conservation needs, using a flexible Bayesian hierarchical generalized additive model
    Adam C. Smith, Brandon P.M. Edwards · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
16. The multidimensional analysis of social exclusion
    Nick Bailey, Eldin Fahmy, Jonathan Bradshaw · 2017
17. Evaluating Local Language Models: An Application to Financial Earnings Calls
    Thomas R. Cook, Sophia Kazinnik, Anne Lundgaard Hansen, Peter McAdam · 2023 · SSRN Electronic Journal
18. Bio-based hybrid planar truss: Experimental testing, FE modeling and Bayesian model updating
    Da Shi, Zhi Li, Cristoforo Demartino · 2024 · Engineering Structures
19. Specification uncertainty: what the disruption index tells us about the (hidden) multiverse of bibliometric indicators
    Christian Leibel, Lutz Bornmann · 2024 · Scientometrics
20. A statistician’s perspective on digital epidemiology
    Michael Höhle · 2017 · Life Sciences Society and Policy
21. On the robust drivers of cryptocurrency liquidity: the case of Bitcoin
    Walid M. A. Ahmed · 2024 · Financial Innovation
22. Simple Patchy-Based Simulators Used to Explore Pondscape Systematic Dynamics
    Wei‐Ta Fang, Jui‐Yu Chou, Shiau-Yun Lu · 2014 · PLoS ONE
23. A new prognostic strategy for adult patients with acute pulmonary embolism eligible for outpatient therapy
    Federico Angriman, Fernando Javier Vázquez, Pierre‐Marie Roy, Grégoire Le Gal, Marc Carrier, Esteban Gándara · 2016 · Journal of Thrombosis and Thrombolysis
24. Evaluation of algorithms using administrative health and structured electronic medical record data to determine breast and colorectal cancer recurrence in a Canadian province
    Pascal J. Lambert, Marshall W. Pitz, Harminder Singh, Kathleen Decker · 2021 · BMC Cancer
25. A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree
    Irwin Guttman, Daniel Peña, María Dolores Redondas Marrero · 2005 · Technometrics
26. Beneficial effects of designed dietary fatty acid compositions on lipids in triacylglycerol-rich lipoproteins among Chinese patients with type 2 diabetes mellitus
    Jun Dai, Yixiang Su, Scott M. Bartell, Ngoc‐Anh Le, Wenhua Ling, Liang Yi-quan, Ling Gao, Haiyan Wu, Emir Veledar, Viola Vaccarino · 2009 · Metabolism
27. Neural Networks - Their Use and Abuse for Small Data Sets
    Denny Meyer, Andrew Balemi, Chris Wearing · 2002 · IGI Global eBooks
28. On the uncertainty and confidence in decision support tools (DSTs) with insights from the Baltic Sea ecosystem
    Floris M. van Beest, Henrik Nygård, Vivi Fleming, Jacob Carstensen · 2020 · AMBIO
29. Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: model selection and multimodel inference
    LRF Costa, Ronaldo Borges Barthem, ALM. Albernaz, M.M. Bittencourt, MA Villacorta-Corrêa · 2013 · Brazilian Journal of Biology
30. No added value of age at menopause and the lifetime cumulative number of menstrual cycles for cardiovascular risk prediction in postmenopausal women
    Femke Atsma, Yvonne T. van der Schouw, Diederick E. Grobbee, Arno Wilhelmus Hoes, Marie-Louise E. L. Bartelink · 2007 · International Journal of Cardiology
31. Early Diagnostic Marker Panel Determination for Microarray Based Clinical Studies
    Jochen C Jaeger, Dieter Weichenhan, Boris Ivandic, Rainer Spang · 2005 · Statistical Applications in Genetics and Molecular Biology
32. How to select polynomial models with an accurate derivative
    PIET M. T. BROERSEN · 2000 · IEEE Transactions on Instrumentation and Measurement
33. Dose-response characterization: A key to success in drug development
    Frank Bretz, Björn Bornkamp, Thomas Dumortier · 2025 · Clinical Trials
34. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration. Translation in to Russian
    Karel G.M. Moons, Douglas G. Altman, Johannes B. Reitsma, J. P. A. loannidis, Petra Macaskill, Ewout Willem Steyerberg, Andrew Julian Vickers, David F. Ransohoff, Professor Gary S. Collins · 2022 · Digital Diagnostics
35. Software Passports for Automated Performance Anomaly Detection of Cyber-Physical Systems
    Uraz Odyurt, Hugo Meyer, Andy D. Pimentel, Evangelos Paradas, Ignacio González Alonso · 2019 · Lecture notes in computer science
36. Cross-Country Growth Empirics and Model Uncertainty: An Overview
    Bülent Ulaşan · 2012 · Economics
37. What drives US stock markets during the COVID-19 pandemic? A global sensitivity analysis
    Walid M.A. Ahmed · 2022 · Borsa Istanbul Review
38. Using vegetation data within presettlement land survey records for species distribution modeling: A tale of two datasets
    Stephen J. Tulowiecki · 2014 · Ecological Modelling
39. Inference after variable selection using restricted permutation methods
    Rui Wang, Stephen W. Lagakos · 2009 · Canadian Journal of Statistics
40. Exploiting irregular measurement intervals for the analysis of growth trends of stand basal area increments: A composite model approach
    Chaofang Yue, Ulrich Kohnle, Hans‐Peter Kahle, Joachim Klädtke · 2011 · Forest Ecology and Management
41. A cross‐validation procedure for general pedigrees and matched odds ratio fitness metric implemented for the multifactor dimensionality reduction pedigree disequilibrium test
    Todd L. Edwards, Eric Torstensen, SCOTT M. DUDEK, Eden R. Martin, Marylyn DeRiggi Ritchie · 2009 · Genetic Epidemiology
42. Sudden and sustained response of Acacia koa crop trees to crown release in stagnant stands
    Patrick J. Baker, Andrew P. Robinson, John J. Ewel · 2008 · Canadian Journal of Forest Research
43. PROFSS: A screening tool for early identification of functional somatic symptoms
    Janna M. Gol, Huibert Burger, Karin A.M. Janssens, Joris P. J. Slaets, Rijk O. B. Gans, Judith G.M. Rosmalen · 2014 · Journal of Psychosomatic Research
44. Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals
    Daniel Turek · 2015 · Journal of Probability and Statistics
45. The Economics of Radical Uncertainty
    Paul Ormerod · 2015 · Economics
46. Assessing the relative influences of abiotic and biotic factors on American eel Anguilla rostrata distribution using hydrologic, physical habitat, and functional trait data
    Taylor E. Woods, Daniel J. McGarvey · 2018 · Ecography
47. Vague Theories, Sophisticated Techniques, and Poor Data
    Paul S. Plummer · 2001 · Environment and Planning A Economy and Space
48. Uncertainty in Biomonitoring and Kinetic Modeling
    Lutz Edler · 1999 · Annals of the New York Academy of Sciences
49. Bayesian Model Averaging and Variable Selection in Multivariate Ecological Models
    Ilya A. Lipkovich · 2002 · VTechWorks (Virginia Tech)
50. The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression
    Andreas Buja, Richard A. Berk, Lawrence Brown, Edward I. George, Emil Pitkin, Mikhail Traskin, K. Zhang, Liwei Zhao · 2014 · arXiv (Cornell University)
51. Model Averaging and its Use in Economics
    Mark F. J. Steel · 2017 · arXiv (Cornell University)
52. Local Model Uncertainty and Incomplete-Data Bias (With Discussion)
    J. B. Copas, Shinto Eguchi · 2005 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
53. Seroprevalence of human herpes viruses in France, 2018–2022: a multilevel regression and poststratification approach
    Olivier Supplisson, Benoît Visseaux, Stéphanie Haïm‐Boukobza, David Boutolleau, Samuel Alizon, Sonia Burrel, Mircea T. Sofonea · 2024 · Scandinavian Journal of Infectious Diseases
54. The environmental benefits of grassroots cooperatives in agriculture
    Simon Cornée, Damien Rousselière, Véronique Thelen · 2025 · Ecological Economics
55. Probabilistic and deep learning approaches for conductivity-driven nanocomposite classification
    Wejden Gazehi, Rania Loukil, Mongi Besbes · 2025 · Scientific Reports
56. Aboveground Biomass Models in the Combretum-Terminalia Woodlands of Ethiopia: Testing Species and Site Variation Effects
    Amsalu Abich, Mesele Negash, Asmamaw Alemu, Temesgen Gashaw · 2022 · Land
57. Response of wetland soil carbon to groundwater conservation: Probabilistic outcomes from error propagation
    David B. Lewis · 2015 · Ecological Indicators
58. Calidad de vida y apoyo social percibido en personas con VIH en Bogotá, Colombia
    José Moreno‐Montoya, Ana María Barragán, Margin del Socorro Martínez, A. González Rodríguez, Ángela Carmela González · 2018 · Biomédica
59. When and when not to use optimal model averaging
    Michael Schomaker, Christian Heumann · 2018 · Statistical Papers
60. How to Analyze Continuous and Discrete Repeated Measures in Small-Sample Cross-Over Trials?
    Johan Verbeeck, Martin Geroldinger, Konstantin Emil Thiel, Andrew C. Hooker, Sebastian Ueckert, Mats O. Karlsson, Arne Cornelius Bathke, Johann Wolfgang Bauer, Geert Molenberghs, Georg Zimmermann · 2023 · Biometrics
61. A semi-parametric approach for estimating critical fractiles under autocorrelated demand
    Yun Shin Lee · 2013 · European Journal of Operational Research
62. Mining the past to determine the future: Comments
    Sven F. Crone · 2009 · International Journal of Forecasting
63. Looking below the ground: Prediction of Tuber indicum habitat using the Weights of Evidence method
    Xueqing Yang, G. R. L. Kodikara, Eike Luedeling, Xuefei Yang, Jun He, Peigui Liu, Jianchu Xu · 2012 · Ecological Modelling
64. Decision‐making under climatic uncertainty: A case study involving an Australian Ramsar‐listed wetland
    Terry V. Walshe, Tilo Massenbauer · 2008 · Ecological Management & Restoration
65. Selection of a Barley Yield Model Using Information–Theoretic Criteria
    Marie Jasieniuk, Mark L. Taper, Nicole C. Wagner, Robert N. Stougaard, Monica Brelsford, Bruce D. Maxwell · 2008 · Weed Science
66. Lichen-Forming Fungi of the GenusMontaneliain Poland and Their Potential Distribution in Central Europe
    Katarzyna Szczepańska, Daniel Pruchniewicz, Justyna Sołtysiak, Maria Kossowska · 2015 · Herzogia
67. Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback
    Paulo Vitor de Campos Souza, Edwin David Lughofer · 2022 · Evolving Systems
68. Recommended practices in global sensitivity analysis
    Andrea Saltelli, Daniele Vidoni, Massimiliano Mascherini · 2009 · NATO science for peace and security series. C, Environmental security
69. Evidence of speculation in world oil prices
    Dale O. Roberts, Laura Ryan · 2014 · Australian Journal of Management
70. Robustification of structural equation modelling via global sensitivity analysis
    Alessio Lachi, Josep Llach, Jordi Perramon, Michela Baccini, Andrea Saltelli · 2025 · Statistical Methods & Applications
71. No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation
    Riccardo Lucchetti, Luca Pedini, Claudia Pigini · 2021 · Economic Modelling
72. From Logic-Respecting Efficacy Estimands to Logic-Ensuring Analysis Principle for Time-to-Event Endpoint in Randomized Clinical Trials with Subgroups
    Yi Liu, Miao Yang, Siyoen Kil, Jiang Li, Shoubhik Mondal, Yue Shentu, Hong Tian, Liwei Wang, Godwin Yung · 2023 · Statistics in Biopharmaceutical Research
73. Likelihood Ratio Test and the Evidential Approach for 2 × 2 Tables
    Peter Cahusac · 2024 · Entropy
74. Pancreas Transplantation Outcome Predictions—PTOP: A Risk Prediction Tool for Pancreas and Pancreas-Kidney Transplants Based on a European Cohort
    Gregor Miller, Donna Pauler Ankerst, Michael W. Kattan, Norbert Hüser, Felix Stocker, Serge Vogelaar, Milou van Bruchem, Volker Aßfalg · 2024 · Transplantation Direct
75. COMPARAÇÃO DE ESQUEMAS DE AMOSTRAGEM PARA TREINAMENTO DE MODELOS PREDITORES NO MAPEAMENTO DIGITAL DE CLASSES DE SOLOS
    Rodrigo Teske, Élvio Giasson, Tatiane Bagatini · 2015 · Revista Brasileira de Ciência do Solo
76. Evaluation of multidimensional models of WAIS-IV subtest performance
    Dennis J. McFarland · 2017 · The Clinical Neuropsychologist
77. Differing climate and landscape effects on regional dryland vegetation responses during wet periods allude to future patterns
    Matthew D. Petrie, Debra P. C. Peters, N. Dylan Burruss, Wenjie Ji, Heather M. Savoy · 2019 · Global Change Biology
78. Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis
    Begüm Irmak Ön, Kelly A. Reeve, Joachim B. Havla, Jacob Burns, Martina Gosteli, Andreas Lutterotti, Sven Schippling, Ulrich Mansmann, Ulrike Held · 2020 · Cochrane Database of Systematic Reviews
79. Bayesian estimation of spatial filters with Moran’s eigenvectors and hierarchical shrinkage priors
    Connor Donegan, Yongwan Chun, Amy E. Hughes · 2020 · Spatial Statistics
80. Applying the index of watershed integrity to the Matanuska–Susitna basin
    Kelsey Aho, Joseph E. Flotemersch, Scott G. Leibowitz, Matthew A. LaCroix, Marc H. Weber · 2020 · Arctic Antarctic and Alpine Research
81. ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models
    Riccardo Lucchetti, Luca Pedini · 2022 · Journal of Statistical Software
82. Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm
    Zhuangyu Liu, Shunyi Zhao, Haiying Wan, Xiaoli Luan, Fei Liu · 2024 · International Journal of Robust and Nonlinear Control
83. Modeling Individual Subtests of the WAIS IV with Multiple Latent Factors
    Dennis J. McFarland · 2013 · PLoS ONE
84. Modelling short-term effects of ozone on morbidity: an application to the city of Milano, Italy, 1995–2003
    Monica Chiogna, Francesco Pauli · 2009 · Environmental and Ecological Statistics
85. Examining the Robustness of Competing Explanations of Slow Growth in African Countries
    Rulof Petrus Burger, Sophia du Plessis · 2011 · Studies in Economics and Econometrics
86. Stop losses momentum strategy: From profit maximization to risk control under White’s Bootstrap Reality Check
    Тамара Викторовна Теплова, Микова Евгения Сергеевна, Nikolai Nazarov · 2017 · The Quarterly Review of Economics and Finance
87. Regression analysis of unmeasured confounding
    B. Knaeble, Braxton Osting, M. Abramson · 2019 · Epidemiologic Methods
88. A Bus Passenger Flow Estimation Method Based on POI Data and AFC Data Fusion
    Yuexiao Cai, Yunlong Zhao, Jinqian Yang, Cynthia Wang · 2020 · Communications in computer and information science
89. Bayes Factors and Multimodel Inference
    William A. Link, Richard Barker · 2008 · Springer eBooks
90. Model Uncertainty in Ecological Criminology: An Application of Bayesian Model Averaging With Rural Crime Data
    Steven C. Deller, Lindsay N. Amiel, Melissa Deller · 2011 · International journal of criminology and sociological theory
91. Sources of uncertainty in ecological modelling: predicting vegetation types from environmental attributes
    Michael B. Dale, Pat E. R. Dale · 2004 · Community Ecology
92. The multidimensional analysis of social exclusion
    Nick Bailey, Eldin Fahmy, Jonathan Bradshaw · 2018 · Bristol University Press eBooks
93. Sensitivity Analysis and Dynamic Programming
    Chin Hon Tan, Joseph C. Hartman · 2011 · Wiley Encyclopedia of Operations Research and Management Science
94. Causal Factor Investing: Can Factor Investing Become Scientific?
    Marcos López de Prado · 2022 · SSRN Electronic Journal
95. Stepwise regression algorithm based on the ordered pair of normalized real numbers framework
    Yonglin Huang, Yi Zheng, Xiaoqin Pan, Lei Zhou · 2025 · The Journal of Supercomputing
96. Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification
    Timothy K Johnsen, Xiangyu Bi, Chunwei Chou, Charuleka Varadharajan, Yuxin Wu, Jonathan H. Skone, Lavanya Ramakrishnan · 2025 · Water Resources Research
97. Confronting collinearity in environmental regression models: evidence from world data
    Claudia García‐García, Catalina Beatriz García García, Román Salmerón Gómez · 2021 · Statistical Methods & Applications
98. Big Data in I-O Psychology and HRM: Progress for Research and Practice
    Raja Kamal, M. S. Kokila · 2023 · Lecture notes in networks and systems
99. Cadmium recovery from acid leachates of Tunisian phosphoric acid purification residues
    Marzougui Salem, Radhia Souissi, Kais Jebali, Wassim Trabelsi, Houyem Abderrazak, Fouad Souissi · 2024 · Environmental Science and Pollution Research
100. Pinning down an octopus: towards an operational definition of AI systems in the EU AI Act
     Slobodan Tomić, Vid Štimac · 2025 · Journal of European Public Policy