Image de couverture de livre

Two-Stage Trigonometric Regression for Modeling Circadian Rhythms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gorczyca, Michael T., Li, Jenna D., Newkirk, Charissa M., Srivatsa, Arjun S., Milan, Hugo F. M.
Format:	Preprint
Publié:	2025
Sujets:	Applications Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On Weighted Trigonometric Regression for Suboptimal Designs in Circadian Biology Studies
par: Gorczyca, Michael, et autres
Publié: (2024)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
par: Gorczyca, Michael, et autres
Publié: (2024)

Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms
par: Hadj-Amar, Beniamino, et autres
Publié: (2025)

A mixed effects cosinor modelling framework for circadian gene expression
par: Gorczyca, Michael T.
Publié: (2024)

A Note on Harmonic Underspecification in Log-Normal Trigonometric Regression
par: Gorczyca, Michael T.
Publié: (2026)

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes
par: Tian, Ye, et autres
Publié: (2023)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
par: Chen, Tinghua, et autres
Publié: (2024)

A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms
par: Santos-Pascual, M., et autres
Publié: (2026)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
par: Woodward, Sophie M., et autres
Publié: (2025)

Diagnostics for Regression Models with Semicontinuous Outcomes
par: Yang, Lu
Publié: (2024)

Shrinkage Estimators for Beta Regression Models
par: Firinguetti, Luis, et autres
Publié: (2024)

RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology
par: Hughes, Arthur, et autres
Publié: (2025)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
par: Li, Qiushuang, et autres
Publié: (2025)

Functional Moments Regression
par: Li, Mingyuan, et autres
Publié: (2026)

Two Stage Least Squares with Time-Varying Instruments: An Application to an Evaluation of Treatment Intensification for Type-2 Diabetes
par: Tompsett, Daniel, et autres
Publié: (2024)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
par: Erlandson, Brody, et autres
Publié: (2026)

Modeling Insurance Claims using Bayesian Nonparametric Regression
par: Abadi, Mostafa Shams Esfand, et autres
Publié: (2023)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
par: Pintado, Maria F., et autres
Publié: (2023)

Three Distributional Approaches for PM10 Assessment in Northern Italy
par: De Sanctis, Marco F., et autres
Publié: (2025)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
par: Li, Qiushuang, et autres
Publié: (2025)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
par: Sondhi, Arjun, et autres
Publié: (2024)

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
par: Yang, Lu
Publié: (2023)

Additive Density Regression
par: Maier, Eva-Maria, et autres
Publié: (2025)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
par: Katz, Harrison, et autres
Publié: (2025)

Notes on Causation, Comparison, and Regression
par: Chattopadhyay, Ambarish, et autres
Publié: (2023)

Stabilizing Variable Selection and Regression
par: Pfister, Niklas, et autres
Publié: (2019)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
par: Zhang, Danlu, et autres
Publié: (2025)

The Regression Discontinuity Design in Medical Science
par: Cattaneo, Matias D., et autres
Publié: (2025)

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
par: Cai, Pengfei, et autres
Publié: (2025)

A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
par: Katz, Harrison, et autres
Publié: (2023)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
par: Florez, Mauro, et autres
Publié: (2024)

Weighted Trigonometric Regression for Suboptimal Designs in Circadian Transcriptome Studies
par: Michael T. Gorczyca, et autres
Publié: (2025)

Tractable Ridge Regression for Paired Comparisons
par: Varin, Cristiano, et autres
Publié: (2024)

Functional Mixture Regression Control Chart
par: Capezza, Christian, et autres
Publié: (2024)

The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
par: Wakefield, Jon, et autres
Publié: (2021)

Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
par: Hoshiyar, Aisouda, et autres
Publié: (2023)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
par: Hong, Anni, et autres
Publié: (2024)

Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
par: Mahmoudi, Fatemeh, et autres
Publié: (2025)

Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
par: Menacher, Anna, et autres
Publié: (2024)

Function on Scalar Regression with Complex Survey Designs
par: Koffman, Lily, et autres
Publié: (2025)