Results 151 to 160 of about 44,356 (305)

Quantile Regression for Area Disease Counts: Bayesian Estimation using Generalized Poisson Regression

, 2017
Peter Congdon
openalex   +1 more source

Econometrics at the Extreme: From Quantile Regression to QFAVAR1

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte, Konstantinos N. Konstantakis, Dimitris Konstantios, Panayotis G. Michaelides, Arsenios‐Georgios N. Prelorentzos   +4 more
wiley   +1 more source

Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster‐Wise Regression Approach

Journal of Regional Science, Volume 65, Issue 2, Page 403-428, March 2025.
ABSTRACT The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a k‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity.
Jacopo Canello, Francesco Vidoli, Elisa Fusco, Nicoletta Giudice   +3 more
wiley   +1 more source

Analyzing ozone concentration by Bayesian spatio‐temporal quantile regression [PDF]

, 2017
P. Das, S. Ghosal
openalex   +1 more source

Simulation Study for Penalized Bayesian Elastic Net Quantile Regression

, 2021
Muntadher Hashim Mnati, Ahmed Naeem Falih   +1 more
openalex   +2 more sources

Multiple Changepoint Detection for Non‐Gaussian Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund, Thomas J. Fisher, Norou Diawara, Michael Wehner   +3 more
wiley   +1 more source

Integrated regime-aware wind power forecasting using multi-altitude meteorological features and hybrid machine learning

Frontiers in Energy Research
Accurate wind power forecasting is critical for grid stability and renewable energy integration, yet the inherent variability of atmospheric conditions presents significant challenges.
Murat Isik, Mehmet ali Yalcinkaya
doaj   +1 more source

Bayesian Composite Quantile Regression with Additive Regression Trees: A Robust Nonparametric Framework for Conditional Distribution Estimation [PDF]

Samiksha Chakule, Snehal Shinde, Jagdish Chakole   +2 more
openalex   +1 more source

Online Jump and Kink Detection in Segmented Linear Regression: Statistical Optimality Meets Computational Efficiency

Journal of Time Series Analysis, EarlyView.
ABSTRACT We consider the problem of sequential (online) estimation of a single change point in a piecewise linear regression model under a Gaussian setup. We demonstrate that certain CUSUM‐type statistics attain the minimax optimal rates for localizing the change point.
Annika Hüselitz, Housen Li, Axel Munk
wiley   +1 more source

INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles [PDF]

, 2018
Thomas Opitz, Raphaël Huser, Haakon Bakka, Håvard Rue   +3 more
openalex   +1 more source