Results 101 to 110 of about 6,488 (205)
A unified approach to the calculation of information operators in semiparametric models. [PDF]
Mao LU.
europepmc +1 more source
A workflow for appying pharmacometrics‐enable machine learning analysis to predict 2‐month culture conversion using phase 2a data. ABSTRACT Phase 2a trials in tuberculosis patients traditionally assess early bactericidal activity over two weeks, often using the time‐to‐positivity biomarker, followed by a phase 2b study typically lasting 8‐week with ...
Huifang You, Ulrika S. H. Simonsson
wiley +1 more source
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
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
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 +7 more
doaj +1 more source
Statistical Generalized Derivative Applied to the Profile Likelihood Estimation in a Mixture of Semiparametric Models. [PDF]
Hirose Y, Liu I.
europepmc +1 more source
A Comparative Review of Specification Tests for Diffusion Models
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
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
wiley +1 more source
Inference on the Attractor Space via Functional Approximation
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
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
wiley +1 more source
Editorial Introduction to the 40th Anniversary Special Issue
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
wiley +1 more source

