Copertina

Conditional GLMMs for reaction times in choice tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tejo, Mauricio, Meza, Cristian, Marmolejo-Ramos, Fernando
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Conjugate gradient methods for high-dimensional GLMMs
di: Pandolfi, Andrea, et al.
Pubblicazione: (2024)

Ranked-choice conjoint experiments
di: Robinson, Thomas S., et al.
Pubblicazione: (2026)

Logit unfolding choice models for binary data
di: Lei, Rayleigh, et al.
Pubblicazione: (2024)

Arc travel time and path choice model estimation subsumed
di: Mohammadpour, Sobhan, et al.
Pubblicazione: (2022)

Interpretable models for forecasting high-dimensional functional time series
di: Shang, Han Lin, et al.
Pubblicazione: (2026)

Table inference for combinatorial origin-destination choices in agent-based population synthesis
di: Zachos, Ioannis, et al.
Pubblicazione: (2023)

Shared hidden-factor information framework for multiple behavioral tasks
di: Bian, Yuan, et al.
Pubblicazione: (2026)

Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
di: Bauer, Jonas, et al.
Pubblicazione: (2025)

Information borrowing in Bayesian clinical trials: choice of tuning parameters for the robust mixture prior
di: Weru, Vivienn, et al.
Pubblicazione: (2024)

Conditional variable screening for ultra-high dimensional longitudinal data with time interactions
di: Bratsberg, Andrea, et al.
Pubblicazione: (2023)

A generalised discrete mixture model to better capture preference heterogeneity in discrete choice data
di: Hancock, Thomas O., et al.
Pubblicazione: (2025)

Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
di: Järvenpää, Marko, et al.
Pubblicazione: (2025)

Archetypal cases for questionnaires with nominal multiple choice questions
di: Alcacer, Aleix, et al.
Pubblicazione: (2026)

Tools to help patients and other stakeholders' input into choice of estimand and intercurrent event strategy in randomised trials
di: Hindley, Joanna, et al.
Pubblicazione: (2026)

The connection of the stability of the binary choice model with its discriminatory power
di: Pomazanov, M.
Pubblicazione: (2025)

Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
di: Sloman, Sabina J., et al.
Pubblicazione: (2023)

Simultaneous Modeling of Disease Screening and Severity Prediction: A Multi-task and Sparse Regularization Approach
di: Harada, Kazuharu, et al.
Pubblicazione: (2023)

A semi-parametric estimation method for quantile coherence with an application to bivariate financial time series clustering
di: Jiménez-Varón, Cristian F., et al.
Pubblicazione: (2023)

DROP: Distributionally Robust Optimization for Multi-task Learning in Graphical Models
di: Shen, Canruo, et al.
Pubblicazione: (2026)

Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions
di: Nguyen, Trang Quynh, et al.
Pubblicazione: (2023)

On metric choice in dimension reduction for Fréchet regression
di: Soale, Abdul-Nasah, et al.
Pubblicazione: (2024)

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
di: Fan, Qingliang, et al.
Pubblicazione: (2025)

Conformal Prediction With Conditional Guarantees
di: Gibbs, Isaac, et al.
Pubblicazione: (2023)

Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters
di: Bhattacharya, Sohom, et al.
Pubblicazione: (2025)

Should the choice of BOIN design parameter p.tox only depend on the target DLT rate?
di: Lu, Rong
Pubblicazione: (2024)

The BPgWSP test: a Bayesian Weibull Shape Parameter signal detection test for adverse drug reactions
di: Dyck, Julia, et al.
Pubblicazione: (2024)

Conditional Predictive Inference for Missing Outcomes
di: Lee, Yonghoon, et al.
Pubblicazione: (2024)

Easy Conditioning far beyond Gaussian
di: Faul, Antoine, et al.
Pubblicazione: (2024)

Latent event history models for quasi-reaction systems
di: Framba, Matteo, et al.
Pubblicazione: (2023)

A Bayesian time-varying random partition model for large spatio-temporal datasets
di: Beltramin, Giulio, et al.
Pubblicazione: (2023)

On Selecting and Conditioning in Multiple Testing and Selective Inference
di: Goeman, Jelle, et al.
Pubblicazione: (2022)

The Mean Shape under the Relative Curvature Condition
di: Taheri, Mohsen, et al.
Pubblicazione: (2024)

Conditional Adjustment in a Markov Equivalence Class
di: LaPlante, Sara, et al.
Pubblicazione: (2023)

Covariate Shift Corrected Conditional Randomization Test
di: Xu, Bowen, et al.
Pubblicazione: (2024)

Generalized Conditional Functional Principal Component Analysis
di: Lu, Yu, et al.
Pubblicazione: (2024)

Proximal Causal Inference for Conditional Separable Effects
di: Park, Chan, et al.
Pubblicazione: (2024)

Energy load forecasting using Terna public data: a free lunch multi-task combination approach
di: Girolimetto, Daniele, et al.
Pubblicazione: (2025)

Frequency-Domain Analysis of Time Series with Network-Structured Dependence: Application to Global Bank Connectedness
di: Jiménez-Varón, Cristian F., et al.
Pubblicazione: (2025)

Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings
di: Sui, Yang, et al.
Pubblicazione: (2025)

Multi-task learning via robust regularized clustering with non-convex group penalties
di: Okazaki, Akira, et al.
Pubblicazione: (2024)