Higher-order cumulants and correlation functions of proton multiplicity distributions in collisions at the RHIC STAR experiment
We report a measurement of cumulants and correlation functions of event-by-event proton
multiplicity distributions from fixed-target Au+ Au collisions at s NN= 3 GeV measured by the …
multiplicity distributions from fixed-target Au+ Au collisions at s NN= 3 GeV measured by the …
Economics and epidemics: Evidence from an estimated spatial econ-sir model
Economic analysis of effective policies for managing epidemics requires an integrated
economic and epidemiological approach. We develop and estimate a spatial, micro-founded …
economic and epidemiological approach. We develop and estimate a spatial, micro-founded …
[BOOK][B] The Conway–Maxwell–Poisson distribution
KF Sellers - 2023 - books.google.com
While the Poisson distribution is a classical statistical model for count data, the distributional
model hinges on the constraining property that its mean equal its variance. This text instead …
model hinges on the constraining property that its mean equal its variance. This text instead …
Stabilization of cat-state manifolds using nonlinear reservoir engineering
We introduce a novel reservoir engineering approach for stabilizing multi-component Schr\"
odinger's cat manifolds. The fundamental principle of the method lies in the destructive …
odinger's cat manifolds. The fundamental principle of the method lies in the destructive …
Reparametrization of COM–Poisson regression models with applications in the analysis of experimental data
The COM–Poisson distribution is a two-parameter generalization of the Poisson distribution
that can deal with under-, equi-and overdispersed count data. Unfortunately, its location …
that can deal with under-, equi-and overdispersed count data. Unfortunately, its location …
An asymptotic expansion for the normalizing constant of the Conway–Maxwell–Poisson distribution
Abstract The Conway–Maxwell–Poisson distribution is a two-parameter generalization of the
Poisson distribution that can be used to model data that are under-or over-dispersed relative …
Poisson distribution that can be used to model data that are under-or over-dispersed relative …
Likelihood inference for COM-Poisson cure rate model with interval-censored data and Weibull lifetimes
In this paper, we consider a competing cause scenario and assume the number of
competing causes to follow a Conway–Maxwell Poisson distribution which can capture both …
competing causes to follow a Conway–Maxwell Poisson distribution which can capture both …
Efficient estimation of COM–Poisson regression and a generalized additive model
Abstract The Conway–Maxwell–Poisson (CMP) or COM–Poisson regression is a popular
model for count data due to its ability to capture both under dispersion and over dispersion …
model for count data due to its ability to capture both under dispersion and over dispersion …
Standard errors for regression-based causal effect estimates in economics using numerical derivatives
JV Terza - Computational Economics, 2024 - Springer
The aim of nearly all empirical studies in economics is to provide scientific evidence that can
be used to assess policy relevant cause-and-effect. In the context of the general potential …
be used to assess policy relevant cause-and-effect. In the context of the general potential …
A Conway–Maxwell–Poisson-Binomial AR (1) Model for Bounded Time Series Data
H Chen, J Zhang, X Liu - Entropy, 2023 - mdpi.com
Binomial autoregressive models are frequently used for modeling bounded time series
counts. However, they are not well developed for more complex bounded time series counts …
counts. However, they are not well developed for more complex bounded time series counts …