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ORCIDComputational Statistics & Data Analysis, Volume 143
Volume 143, March 2020
- Luigi Spezia
:
Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method. - Jin-Chuan Duan, Andras Fulop, Yu-Wei Hsieh:
Data-cloning SMC2: A global optimizer for maximum likelihood estimation of latent variable models.
- Yingying Ma, Wei Lan, Fanying Zhou, Hansheng Wang:
Approximate least squares estimation for spatial autoregressive models with covariates. - Ariel Duarte-López, Marta Pérez-Casany, Jordi Valero:
The Zipf-Poisson-stopped-sum distribution with an application for modeling the degree sequence of social networks. - Dimitris Fouskakis, Ioannis Ntzoufras, Konstantinos Perrakis:
Variations of power-expected-posterior priors in normal regression models. - Andrea Bommert, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, Michel Lang:
Benchmark for filter methods for feature selection in high-dimensional classification data. - Carlos E. Rodríguez, Gabriel Núñez-Antonio, Gabriel Escarela:
A Bayesian mixture model for clustering circular data. - Nadine McCloud, Christopher F. Parmeter:
Determining the Number of Effective Parameters in Kernel Density Estimation.
- Ningren Han, Rajeev J. Ram:
Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy.
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