Zobrazeno 1 - 10
of 1 416
pro vyhledávání: '"A, Craiu"'
Autor:
Herrera-Martin, Antonio, Craiu, Radu V., Eadie, Gwendolyn M., Stenning, David C., Bingham, Derek, Gaensler, Bryan M., Pleunis, Ziggy, Scholz, Paul, Mckinven, Ryan, Kharel, Bikash, Masui, Kiyoshi W.
An important task in the study of fast radio bursts (FRBs) remains the automatic classification of repeating and non-repeating sources based on their morphological properties. We propose a statistical model that considers a modified logistic regressi
Externí odkaz:
http://arxiv.org/abs/2410.17474
Autor:
Cook, A. M., Li, Dayi, Eadie, Gwendolyn M., Stenning, David C., Scholz, Paul, Bingham, Derek, Craiu, Radu, Gaensler, B. M., Masui, Kiyoshi W., Pleunis, Ziggy, Herrera-Martin, Antonio, Joseph, Ronniy C., Pandhi, Ayush, Pearlman, Aaron B., Prochaska, J. Xavier
This paper introduces an approach to analyze nonhomogeneous Poisson processes (NHPP) observed with noise, focusing on previously unstudied second-order characteristics of the noisy process. Utilizing a hierarchical Bayesian model with noisy data, we
Externí odkaz:
http://arxiv.org/abs/2410.12146
Accurate loss reserving is crucial in Property and Casualty (P&C) insurance for financial stability, regulatory compliance, and effective risk management. We propose a novel micro-level Cox model based on hidden Markov models (HMMs). Initially formul
Externí odkaz:
http://arxiv.org/abs/2409.12896
We propose a new flexible tensor model for multiple-equation regression that accounts for latent regime changes. The model allows for dynamic coefficients and multi-dimensional covariates that vary across equations. We assume the coefficients are dri
Externí odkaz:
http://arxiv.org/abs/2407.00655
Autor:
Dong, Fengqiu Adam, Herrera-Martin, Antonio, Stairs, Ingrid, Craiu, Radu V., Crowter, Kathryn, Eadie, Gwendolyn M., Fonseca, Emmanuel, Good, Deborah, Mckee, James W., Meyers, Bradley W., Pearlman, Aaron B., Stenning, David C.
Studying transient phenomena, such as individual pulses from pulsars, has garnered considerable attention in the era of astronomical big data. Of specific interest to this study are Rotating Radio Transients (RRATs), nulling, and intermittent pulsars
Externí odkaz:
http://arxiv.org/abs/2406.04597
Autor:
Esquivel, J. Arturo, Shen, Yunyi, Leos-Barajas, Vianey, Eadie, Gwendolyn, Speagle, Joshua, Craiu, Radu V, Medina, Amber, Davenport, James
We present a hidden Markov model (HMM) for discovering stellar flares in light curve data of stars. HMMs provide a framework to model time series data that are not stationary; they allow for systems to be in different states at different times and co
Externí odkaz:
http://arxiv.org/abs/2404.13145
Parametric bivariate copula families have been known to flexibly capture various dependence patterns, e.g., either positive or negative dependence in either the lower or upper tails of bivariate distributions. In this paper, our objective is to const
Externí odkaz:
http://arxiv.org/abs/2403.12789
Autor:
Craiu, Radu V., Meng, Xiao-Li
This review paper is intended for the Handbook of Markov chain Monte Carlo's second edition. The authors will be grateful for any suggestions that could perfect it.
Externí odkaz:
http://arxiv.org/abs/2401.02518
Autor:
Craiu, Radu V., Levi, Evgeny
Rich data generating mechanisms are ubiquitous in this age of information and require complex statistical models to draw meaningful inference. While Bayesian analysis has seen enormous development in the last 30 years, benefitting from the impetus gi
Externí odkaz:
http://arxiv.org/abs/2210.03243
Autor:
Shi, Yunlei, Chen, Zhaopeng, Cong, Lin, Wu, Yansong, Craiu-Muller, Martin, Yuan, Chengjie, Chang, Chunyang, Zhang, Lei, Zhang, Jianwei
The need for contact-rich tasks is rapidly growing in modern manufacturing settings. However, few traditional robotic assembly skills consider environmental constraints during task execution, and most of them use these constraints as termination cond
Externí odkaz:
http://arxiv.org/abs/2208.06278