| Nonparametric dark energy reconstruction from Supernova data T Holsclaw, U Alam, B Sansó, H Lee, K Heitmann, S Habib, D Higdon Arxiv preprint arXiv:1011.3079, 2010 | 203 | 2010 |
| Nonparametric reconstruction of the dark energy equation of state from diverse data sets T Holsclaw, U Alam, B Sansó, H Lee, K Heitmann, S Habib, D Higdon Physical Review D 84 (8), 083501, 2011 | 163 | 2011 |
| Nonparametric reconstruction of the dark energy equation of state T Holsclaw, U Alam, B Sansó, H Lee, K Heitmann, S Habib, D Higdon Physical Review D 82 (10), 103502, 2010 | 163* | 2010 |
| Bayesian nonhomogeneous Markov models via Pólya-Gamma data augmentation with applications to rainfall modeling T Holsclaw, AM Greene, AW Robertson, P Smyth | 54 | 2017 |
| Gaussian Process Modeling of Derivative Curves T Holsclaw, B Sansó, H Lee, D Higdon, K Heitmann, U Alam, S Habib | 44 | 2013 |
| A Bayesian hidden Markov model of daily precipitation over South and East Asia T Holsclaw, AM Greene, AW Robertson, P Smyth Journal of Hydrometeorology 17 (1), 3-25, 2016 | 38 | 2016 |
| Measurement error and outcome distributions: Methodological issues in regression analyses of behavioral coding data. T Holsclaw, KA Hallgren, M Steyvers, P Smyth, DC Atkins Psychology of addictive behaviors 29 (4), 1031, 2015 | 18 | 2015 |
| A Bayesian multivariate nonhomogeneous Markov model AM Greene, T Holsclaw, AW Robertson, P Smyth Machine Learning and Data Mining Approaches to Climate Science: Proceedings …, 2015 | 7 | 2015 |
| Bayesian detection of changepoints in finite-state Markov chains for multiple sequences P Arnesen, T Holsclaw, P Smyth Technometrics 58 (2), 205-213, 2016 | 6 | 2016 |
| A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage Renal Disease Data SA Masouleh, T Holsclaw, B Shahbaba, DL Gillen arXiv preprint arXiv:1807.02239, 2018 | 2 | 2018 |
| Quantifying the association between longitudinal changes in serum albumin and mortality via a Gaussian process model T Holsclaw, B Shahbaba, D Gillen | 1 | 2012 |
| The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model Q Cao, H Zhang, U Lall, T Holsclaw Journal of Flood Risk Management, e12942, 2023 | | 2023 |
| A Flexible Joint Longitudinal-Survival Model for Analyzing Longitudinally Sampled Biomarkers SA Masouleh, T Holsclaw, B Shahbaba, DL Gillen Open Journal of Statistics 11 (5), 778-805, 2021 | | 2021 |
| A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage SA Masouleh, T Holsclaw, B Shahbaba | | 2018 |
| Stochastic simulation and decadal prediction of hydroclimate in the Western Himalayas AW Robertson, MD Chekroun, E Cook, R D'Arrigo, M Ghil, AM Greene, ... AGU Fall Meeting Abstracts 2012, GC11D-1038, 2012 | | 2012 |
| Statistical modeling for dark energy and associated cosmological constants T Holsclaw University of California, Santa Cruz, 2011 | | 2011 |
| AMS 263-Final Project T Holsclaw | | 2010 |
| Nonparametric Reconstruction of the Dark Energy Equation of State K Heitmann, T Holsclaw, U Alam, S Habib, D Higdon, B Sanso, H Lee Physical Review D, 2009 | | 2009 |
| Cosmic Calibration-Statistical Modeling for Dark Energy T Holsclaw, B Sanso, H Lee, U Alam, K Heitmann, S HABIB | | |
| New Constraints on the Time-variation of the Dark Energy Equation of State from Current Supernova Data T Holsclaw, U Alam, B Sansó, H Lee, K Heitmann, S Habib, D Higdon | | |
Dave HigdonVirginia TechVerified email at vt.edu
