Deep learning for individual heterogeneity: An automatic inference framework
We develop methodology for estimation and inference using machine learning to enrich
economic models. Our framework takes a standard economic model and recasts the …
economic models. Our framework takes a standard economic model and recasts the …
Multivariate Conway-Maxwell-Poisson distribution: Sarmanov method and doubly intractable Bayesian inference
LSC Piancastelli, N Friel, W Barreto-Souza… - … of Computational and …, 2023 - Taylor & Francis
In this article, a multivariate count distribution with Conway-Maxwell (COM)-Poisson
marginals is proposed. To do this, we develop a modification of the Sarmanov method for …
marginals is proposed. To do this, we develop a modification of the Sarmanov method for …
Uniformly most powerful unbiased tests for the dispersion parameter of the Conway–Maxwell–Poisson distribution
S Bedbur, U Kamps - Statistics & Probability Letters, 2023 - Elsevier
Uniformly most powerful unbiased tests for one-sided hypotheses about the dispersion
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …
Benign-overfitting in conditional average treatment effect prediction with linear regression
M Kato, M Imaizumi - arXiv preprint arXiv:2202.05245, 2022 - arxiv.org
We study the benign overfitting theory in the prediction of the conditional average treatment
effect (CATE), with linear regression models. As the development of machine learning for …
effect (CATE), with linear regression models. As the development of machine learning for …
Characterizing Existence and Location of the ML Estimate in the Conway–Maxwell–Poisson Model
S Bedbur, A Imm, U Kamps - Mathematical Methods of Statistics, 2024 - Springer
As a flexible extension of the common Poisson model, the Conway–Maxwell–Poisson
distribution allows for describing under-and overdispersion in count data via an additional …
distribution allows for describing under-and overdispersion in count data via an additional …
Deep-ultraviolet optoelectronic devices enabled by the hybrid integration of next-generation semiconductors and emerging device platforms
N Alfaraj - 2019 - repository.kaust.edu.sa
In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …
investigated based on gallium oxide and its alloys, through the heterogeneous integration …