Results 31 to 40 of about 233,915 (272)
Natural Exponential Families with Quadratic Variance Functions: Statistical Theory
The Annals of Statistics, 1983 The normal, Poisson, gamma, binomial, negative binomial, and NEFGHS distributions are the six univariate natural exponential families (NEF) with quadratic variance functions (QVF). This sequel to Morris (1982) treats certain statistical topics that can be handled within this unified NEF-QVF formulation, including unbiased estimation, Bhattacharyya and ...
openaire +2 more sources
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)
, 2017 Learning DAG or Bayesian network models is an important problem in multi-variate causal inference. However, a number of challenges arises in learning large-scale DAG models including model identifiability and computational complexity since the space of directed graphs is huge.
Park, Gunwoong, Raskutti, Garvesh
openaire +3 more sources
Case Studies in Thermal Engineering, 2022 For the manufacturing of automotive B-pillar parts with tailored properties, a multi-objective optimization of partition temperature of steel sheet is conducted to obtain the magnetic conductor parameters corresponding to optimal mechanical properties by
Li Bao +5 more
doaj +1 more source
The Influence Function of Penalized Regression Estimators [PDF]
, 2014 To perform regression analysis in high dimensions, lasso or ridge estimation are a common choice. However, it has been shown that these methods are not robust to outliers.
Alfons, Andreas +2 more
core +2 more sources
Nonlinear Channel Estimation for OFDM System by Wavelet Transform Based Weighted TSVR
IEEE Access, 2020 An efficient nonlinear channel estimation method for pilot-aided orthogonal frequency division multiplexing system is proposed in this work. The considered channel is selective in time and frequency domain, that is doubly selective channel.
Lidong Wang +4 more
doaj +1 more source
Variance of the Number of Zeroes of Shift-Invariant Gaussian Analytic Functions [PDF]
, 2016 Following Wiener, we consider the zeroes of Gaussian analytic functions in a strip in the complex plane, with translation-invariant distribution. We show that the variance of the number of zeroes in a long horizontal rectangle $[0,T]\times [a,b]$ is ...
Feldheim, Naomi
core
Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis
Arthritis Care &Research, EarlyView.Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich +35 more
wiley +1 more source
Random regression analyses using B-spline functions to model growth of Nellore cattle
Animal, 2012 The objective of this study was to estimate (co)variance components using random regression on B-spline functions to weight records obtained from birth to adulthood.
A.A. Boligon +4 more
doaj +1 more source
CMB Lensing Reconstruction on the Full Sky [PDF]
, 2003 Gravitational lensing of the microwave background by the intervening dark matter mainly arises from large-angle fluctuations in the projected gravitational potential and hence offers a unique opportunity to study the physics of the dark sector at large ...
A. Blanchard +24 more
core +2 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source