Results 91 to 100 of about 777 (154)
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
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Semiparametric Counterfactual Regression
We study counterfactual regression, which aims to map input features to outcomes under hypothetical scenarios that differ from those observed in the data. This is particularly useful for decision-making when adapting to sudden shifts in treatment patterns is essential.
openaire +2 more sources
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
International Statistical Review, Volume 94, Issue 2, Page 264-290, August 2026.Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source
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 +2 more
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A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, Volume 94, Issue 2, Page 347-381, August 2026.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance
New Phytologist, Volume 251, Issue 3, Page 975-995, August 2026.Summarised methodology for metabolite biomarker discovery and genomic targets selection for those metabolites to predict high‐throughput phenotypic and agronomic traits of interest for direct uptake in breeding programmes. Summary Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to ...
Agyeya Pratap +3 more
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JTAM (Jurnal Teori dan Aplikasi Matematika)Regression analysis is one of the statistical methods used to model the relationship between response variables and predictor variables. Semiparametric regression is a combination of parametric and nonparametric regression.
Tiani Wahyu Utami +2 more
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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
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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 +2 more
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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 +2 more
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