| Strong lens time delay challenge. II. Results of TDC1 K Liao, T Treu, P Marshall, CD Fassnacht, N Rumbaugh, G Dobler, ... The Astrophysical Journal 800 (1), 11, 2015 | 145 | 2015 |
| Time Delay Lens modelling Challenge X Ding, T Treu, S Birrer, GCF Chen, J Coles, P Denzel, M Frigo, A Galan, ... Monthly Notices of the Royal Astronomical Society 503 (1), 1096-1123, 2021 | 39 | 2021 |
| A Repelling-Attracting Metropolis Algorithm for Multimodality H Tak, XL Meng, DA van Dyk Journal of Computational and Graphical Statistics 27 (3), 479-490, 2018 | 36* | 2018 |
| How proper are Bayesian models in the astronomical literature? H Tak, SK Ghosh, JA Ellis Monthly Notices of the Royal Astronomical Society 481 (1), 277-285, 2018 | 30 | 2018 |
| Modeling Stochastic Variability in Multiband Time-series Data Z Hu, H Tak The Astronomical Journal 160 (6), 265-276, 2020 | 25 | 2020 |
| Bayesian estimates of astronomical time delays between gravitationally lensed stochastic light curves H Tak, K Mandel, DA van Dyk, VL Kashyap, XL Meng, A Siemiginowska The Annals of Applied Statistics 11 (3), 1309-1348, 2017 | 19 | 2017 |
| Data-dependent posterior propriety of a Bayesian beta-binomial-logit model H Tak, CN Morris Bayesian Analysis 12 (2), 533-555, 2017 | 14 | 2017 |
| Robust and Accurate Inference via a Mixture of Gaussian and Student's t Errors H Tak, JA Ellis, SK Ghosh Journal of Computational and Graphical Statistics 28 (2), 415-426, 2019 | 13 | 2019 |
| Rapid optical variations correlated with X-rays in the 2015 second outburst of V404 Cygni (GS 2023+ 338) M Kimura, T Kato, K Isogai, H Tak, M Shidatsu, H Itoh, T Tordai, K Kasai, ... Monthly Notices of the Royal Astronomical Society 471 (1), 373-382, 2017 | 12* | 2017 |
| Incorporating measurement error in astronomical object classification S Shy, H Tak, ED Feigelson, JD Timlin, GJ Babu The Astronomical Journal 164 (1), 6, 2022 | 10 | 2022 |
| Rgbp: An R Package for Gaussian, Poisson, and Binomial Random Effects Models with Frequency Coverage Evaluations H Tak, J Kelly, CN Morris Journal of Statistical Software 78 (5), 1-33, 2017 | 9* | 2017 |
| Data transforming augmentation for heteroscedastic models H Tak, K You, SK Ghosh, B Su, J Kelly Journal of Computational and Graphical Statistics 29 (3), 659-667, 2020 | 3 | 2020 |
| Frequency coverage properties of a uniform shrinkage prior distribution H Tak Journal of Statistical Computation and Simulation 87 (15), 2929-2939, 2017 | 3 | 2017 |
| TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes AD Meyer, DA van Dyk, H Tak, A Siemiginowska The Astrophysical Journal 950 (1), 37, 2023 | 2 | 2023 |
| Practical guidance for Bayesian inference in astronomy GM Eadie, JS Speagle, J Cisewski-Kehe, D Foreman-Mackey, ... arXiv preprint arXiv:2302.04703, 2023 | 1 | 2023 |
| Mapping the Growth of Supermassive Black Holes as a Function of Galaxy Stellar Mass and Redshift F Zou, Z Yu, WN Brandt, H Tak, G Yang, Q Ni The Astrophysical Journal 964 (2), 183, 2024 | | 2024 |
| Repelling-Attracting Hamiltonian Monte Carlo S Vishwanath, H Tak arXiv preprint arXiv:2403.04607, 2024 | | 2024 |
| A Robust Bayesian Meta-Analysis for Estimating the Hubble Constant via Time Delay Cosmography H Tak, X Ding arXiv preprint arXiv:2308.13018, 2023 | | 2023 |
| Slides from Astroinformatics Summer School 2022 E Ford, J Leja, HS Tak, M Haran, C Pavloski, JM Petucci, VA Villar, ... | | 2022 |
| A Bayesian Approach to Astronomical Time Delay Estimations M Kimura, H Tak, T Kato International Work-Conference on Time Series Analysis, 309-321, 2018 | | 2018 |
David A. van DykProfessor of Statistics, Imperial College LondonVerified email at imperial.ac.uk
