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Deborshee Sen
Deborshee Sen
Sr Data Scientist, Google
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Constrained inference through posterior projections
D Sen, S Patra, D Dunson
arXiv preprint arXiv:1812.05741, 2018
342018
On coupling particle filter trajectories
D Sen, AH Thiery, A Jasra
Statistics and Computing 28, 461-475, 2018
272018
Efficient posterior sampling for high-dimensional imbalanced logistic regression
D Sen, M Sachs, J Lu, DB Dunson
Biometrika 107 (4), 1005-1012, 2020
162020
Some contributions to sequential Monte Carlo methods for option pricing
D Sen, A Jasra, Y Zhou
Journal of Statistical Computation and Simulation 87 (4), 733-752, 2017
142017
Posterior computation with the Gibbs zig-zag sampler
M Sachs, D Sen, J Lu, D Dunson
Bayesian Analysis 18 (3), 909-927, 2023
102023
Scalable Bayesian inference for time series via divide-and-conquer
R Ou, D Sen, D Dunson
arXiv preprint arXiv:2106.11043, 2021
82021
Clustering sequence data with mixture Markov chains with covariates using multiple simplex constrained optimization routine (MSiCOR)
P Das, D Sen, D De, J Hou, ZSH Abad, N Kim, Z Xia, T Cai
Journal of Computational and Graphical Statistics, 1-25, 2023
7*2023
Bayesian inferences on uncertain ranks and orderings: Application to ranking players and lineups
AF Barrientos, D Sen, GL Page, DB Dunson
Bayesian Analysis 18 (3), 777-806, 2023
72023
Bayesian neural networks and dimensionality reduction
D Sen, T Papamarkou, D Dunson
Handbook of Bayesian, Fiducial, and Frequentist Inference, 2024
4*2024
Particle filter efficiency under limited communication
D Sen
Biometrika 109 (4), 921–935, 2022
32022
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states
R Ou, D Sen, AL Young, DB Dunson
arXiv preprint arXiv:1810.13431, 2021
2*2021
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