Results 121 to 130 of about 19,219 (292)

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, Arash Fazeli, Ali Bandehagh, Nicolas L. Taylor   +3 more
wiley   +1 more source

Semiparametric volatility model with varying frequencies

Communications in Statistics - Simulation and Computation
In extracting time series data from various sources, it is inevitable to compile variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregating high frequency data to match the relatively lower frequencies of the rest of the variables.
Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios   +2 more
openaire   +2 more sources

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

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

A unified approach to the calculation of information operators in semiparametric models. [PDF]

Biometrika, 2020
Mao LU.
europepmc   +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

Multilevel Semiparametric Modeling with Overdispersion and Excess Zeros on School Dropout Rates in Indonesia

JTAM (Jurnal Teori dan Aplikasi Matematika)
This study aims to identify key factors influencing high school dropout rates in Indonesia by applying advanced statistical modeling that accounts for complex data characteristics.
Arna Ristiyanti Tarida, Anik Djuraidah, Agus Mohamad Soleh   +2 more
doaj   +1 more source

Semiparametric estimation and variable selection for single‐index copula models

, 2021
Bingduo Yang, Christian Hafner, Guannan Liu, Wei Long   +3 more
openalex   +2 more sources

An Analysis of Housing Expenditure Using Semiparametric Cross-Section Models

In this paper we model expenditure on housing for owners and renters by means of endogenous switching regression models using cross-section data. We explain the share of housing in total expenditure from family characteristics and total expenditure ...
Charlier, E., Melenberg, B., Soest, A.H.O. van   +2 more
core  

Characterization of the asymptotic distribution of semiparametric M-estimators

, 2010
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Sokbae Lee, Ichimura, H, Ichimura, Hidehiko, Lee, S, Hidehiko Ichimura, Lee, Sokbae   +5 more
core   +1 more source