Applied stochastic models in business and industry

Keyphrases

Publications

volume 36, number 1, 2019

A Rappold, Werner G Müller, D C Woods
Copula-based robust optimal block designs. Applied stochastic models in business and industry 36 (1) (2019)

volume 35, number 2, 2019

Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J Sunil Rao, Jean-Eudes Dazard
Mode hunting through active information. Applied stochastic models in business and industry 35 (2) (2019)

volume 35, number 2, 2018

Yang Li, Rong Li, Yichen Qin, Mengyun Wu, Shuangge Ma
Integrative Interaction Analysis using Threshold Gradient Directed Regularization. Applied stochastic models in business and industry 35 (2) (2018)
Yanming Li, Hyokyoung G Hong, S Ejaz Ahmed, Yi Li
Weak signals in high-dimension regression: detection, estimation and prediction. Applied stochastic models in business and industry 35 (2) (2018)

volume 34, number 2, 2017

Wesley Lee, Bailey K Fosdick, Tyler H McCormick
Inferring social structure from continuous-time interaction data. Applied stochastic models in business and industry 34 (2) (2017)

volume 33, number 3, 2017

Peter Müller, Yanxun Xu, Peter F Thall
Clinical Trial Design as a Decision Problem. Applied stochastic models in business and industry 33 (3) (2017)

volume 33, number 4, 2017

Carlos A Abanto-Valle, Roland Langrock, Ming-Hui Chen, Michel V Cardoso
Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions. Applied stochastic models in business and industry 33 (4) (2017)

volume 31, number 2, 2014

Werner G Müller, Luc Pronzato, Joao Rendas, Helmut Waldl
Efficient prediction designs for random fields. Applied stochastic models in business and industry 31 (2) (2014)