A review of multivariate distributions for count data derived from the Poisson distribution

DI Inouye, E Yang, GI Allen… - Wiley Interdisciplinary …, 2017 - Wiley Online Library
The Poisson distribution has been widely studied and used for modeling univariate count‐
valued data. However, multivariate generalizations of the Poisson distribution that permit …

[PDF][PDF] A review of the key issues in operational risk capital modeling

M Chaudhury - The Journal of Operational Risk, 2010 - researchgate.net
In an effort to bolster soundness standards in banking, the 2006 international regulatory
agreement of Basel II requires globally active banks to include operational risk in estimating …

On Poisson graphical models

E Yang, PK Ravikumar, GI Allen… - Advances in neural …, 2013 - proceedings.neurips.cc
Undirected graphical models, such as Gaussian graphical models, Ising, and multinomial/
categorical graphical models, are widely used in a variety of applications for modeling …

scSGL: kernelized signed graph learning for single-cell gene regulatory network inference

A Karaaslanli, S Saha, S Aviyente, T Maiti - Bioinformatics, 2022 - academic.oup.com
Motivation Elucidating the topology of gene regulatory networks (GRNs) from large single-
cell RNA sequencing datasets, while effectively capturing its inherent cell-cycle …

Managing inventory and service levels in a safety stock‐based inventory routing system with stochastic retailer demands

E Yadollahi, EH Aghezzaf, B Raa - Applied Stochastic Models …, 2017 - Wiley Online Library
The inherent uncertainty in supply chain systems compels managers to be more perceptive
to the stochastic nature of the systems' major parameters, such as suppliers' reliability …

Learning gene regulatory networks from next generation sequencing data

B Jia, S Xu, G Xiao, V Lamba, F Liang - Biometrics, 2017 - academic.oup.com
In recent years, next generation sequencing (NGS) has gradually replaced microarray as the
major platform in measuring gene expressions. Compared to microarray, NGS has many …

Empirical likelihood ratio charts for profiles with attribute data and random predictors in the presence of within‐profile correlation

L Song, S He, P Zhou, Y Shang - Quality and Reliability …, 2022 - Wiley Online Library
Profile monitoring has been an increasingly popular statistical process control (SPC)
problem recently. In many applications, quality characteristics of interest are attribute data …

Climate‐based emulator of distant swell trains and local seas approaching a Pacific atoll

L Cagigal, A Rueda, A Ricondo, J Pérez… - Journal of …, 2021 - Wiley Online Library
Wave‐induced flooding is a major coastal hazard for the low‐lying atolls of the Pacific.
These flooding events are expected to increase over time, which may cause significant …

Modelling a non-stationary BINAR (1) Poisson process

N Mamode Khan, Y Sunecher… - Journal of Statistical …, 2016 - Taylor & Francis
Non-stationarity in bivariate time series of counts may be induced by a number of time-
varying covariates affecting the bivariate responses due to which the innovation terms of the …

Change-point detection in Phase I for autocorrelated Poisson profiles with random or unbalanced designs

S He, L Song, Y Shang, Z Wang - International Journal of …, 2021 - Taylor & Francis
The quality of some products or processes can be characterised by the functional
relationship referred to as a profile. Profile monitoring aims to check the stability of this …