Results 81 to 90 of about 7,325 (196)

Inference on the Attractor Space via Functional Approximation

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 4, Page 643-657, August 2026.
ABSTRACT This paper discusses semiparametric inference on hypotheses on the cointegration and the attractor spaces for I(1) linear processes with moderately large cross‐sectional dimension. The approach is based on sample canonical correlations and functional approximation of Brownian motions, and it can be applied both to the whole system and or to ...
Massimo Franchi, Paolo Paruolo
wiley   +1 more source

Investigating the validity of the gibrat law at the provincial level in Türkiye: parametric and semiparametric panel data models

Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi E-Dergi
The growth of cities is closely linked to the overall economic growth of nations. Especially in urban planning, predicting and modelling the growth trajectory of cities is crucial for ensuring sustainable economic growth.
Şaban Kızılarslan, Mustafa Zuhal
doaj   +1 more source

Forty Years of Empirical Evidence of Cointegration and Nonlinear Equilibrium Correction in UK Money Demand Since the XIXth Century

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 4, Page 871-889, August 2026.
ABSTRACT Since the seminal contributions of Friedman and Schwartz and of Hendry and Ericsson, instability in money demand has remained a central issue in the literature. This study broadens and generalizes the first evidence for the United Kingdom of stable long‐ and short‐run broad money demand extending back to the nineteenth century. Using nonlinear
Álvaro Escribano, Juan‐Andrés Rodríguez, Miguel A. Arranz   +2 more
wiley   +1 more source

Editorial Introduction to the 40th Anniversary Special Issue

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 4, Page 569-572, August 2026.
ABSTRACT We introduce this special issue, based on the proceedings of a conference held in the Department of Economics in the University of Oxford from 7 to 9 April 2025, organised to commemorate the 40th anniversary of cointegration. Following a setting of the scene and discussion of the motivation for the conference, the papers are summarised in ...
Anindya Banerjee, Sophocles Mavroeidis, Robert Taylor   +2 more
wiley   +1 more source

Semiparametric modeling for the cardiometabolic risk index and individual risk factors in the older adult population: A novel proposal.

PLoS ONE
The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder, Margareth Lorena Alfonso-Mora, Diana Díaz-Vidal, Aura Cristina Quino-Ávila, Juliana Lever Méndez, Carolina Sandoval-Cuellar, Eliana Monsalve-Jaramillo, María Giné-Garriga   +7 more
doaj   +1 more source

Semiparametric Bayesian analysis of high-dimensional censored outcome data

Statistical Theory and Related Fields, 2017
The Surveillance, Epidemiology and End Results (SEER) cancer database contains survival data for US individuals diagnosed with cancer. Semiparametric Bayesian methods are computationally expensive to fit for such large data-sets.
Chetkar Jha, Yi Li, Subharup Guha
doaj   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

ESTIMASI MODEL REGRESI SEMIPARAMETRIK MENGGUNAKAN ESTIMATOR KERNEL UNIFORM (Studi Kasus: Pasien DBD di RS Puri Raharja)

E-Jurnal Matematika, 2015
Semiparametric regression model approach is a model approach that combines parametric regression models and nonparametric regression. On semiparametric regression, most explanatory variables are parametric and nonparametric others are.
ANNA FITRIANI, I GUSTI AYU MADE SRINADI, MADE SUSILAWATI   +2 more
doaj  

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta‐Diversity

Statistics in Medicine, Volume 45, Issue 15-17, July 2026.
ABSTRACT The human microbiome plays a crucial role in health, but understanding its dynamic relationship with the host requires regular monitoring. Beyond challenges such as high dimensionality and sparsity, additional complexities arise, particularly within‐cluster correlation from repeated measures and pervasive missing data. To address these issues,
Jinyuan Liu, Ke Xu, Jane F. Ferguson, Kaidi Kang, Yue Wang, Yuqi Qiu, Lucy Shao, Shengjia Tu, Tanya T. Nguyen, Tuo Lin, Xinlian Zhang   +10 more
wiley   +1 more source