:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Stoyan, Dietrich, Chiu, Sung Nok
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Applications Methodology
Accesso online:	https://arxiv.org/abs/2208.10106
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market
di: Franzolini, Beatrice, et al.
Pubblicazione: (2022)

COVID-19 Clinical footprint to infer about mortality
di: Rodríguez, Carlos E., et al.
Pubblicazione: (2021)

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
di: Peng, K. Ken, et al.
Pubblicazione: (2024)

Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
di: Trangucci, Rob, et al.
Pubblicazione: (2022)

Generalizing conditional average treatment effects from nested randomized trials to all trial-eligible individuals
di: Wen, Lan, et al.
Pubblicazione: (2026)

Statistics of Extremes for Neuroscience
di: Redondo, Paolo V., et al.
Pubblicazione: (2024)

Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
di: Wolock, Charles J., et al.
Pubblicazione: (2024)

Bayesian Cointegrated Panels in Digital Marketing
di: Carranza-Sánchez, Juan David, et al.
Pubblicazione: (2024)

Statistics of extremes for natural hazards: landslides and earthquakes
di: Yadav, Rishikesh, et al.
Pubblicazione: (2024)

Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
di: Chiu, Albert, et al.
Pubblicazione: (2023)

Flexible Approach for Statistical Disclosure Control in Geospatial Data
di: Skøien, Jon Olav, et al.
Pubblicazione: (2024)

DIF Statistical Inference without Knowing Anchoring Items
di: Chen, Yunxiao, et al.
Pubblicazione: (2021)

Coordinated Trading Strategies for Battery Storage in Reserve and Spot Markets
di: Seifert, Paul E., et al.
Pubblicazione: (2024)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
di: Ng, Edwin, et al.
Pubblicazione: (2021)

The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials
di: Chen, Zhe, et al.
Pubblicazione: (2023)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
di: Lin, Ziqian, et al.
Pubblicazione: (2024)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
di: Mignemi, Giuseppe, et al.
Pubblicazione: (2024)

Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
di: Deliu, Nina, et al.
Pubblicazione: (2025)

Debiasing hazard-based, time-varying vaccine effects using vaccine-irrelevant infections: An observational extension of a pivotal Phase 3 COVID-19 vaccine efficacy trial
di: Ashby, Ethan, et al.
Pubblicazione: (2025)

Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems
di: Sung, Chih-Li, et al.
Pubblicazione: (2023)

Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
di: Kim, David, et al.
Pubblicazione: (2026)

The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
di: Wan, Yunrong
Pubblicazione: (2024)

Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
di: Liu, Yufeng, et al.
Pubblicazione: (2026)

Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios
di: Zhang, Xinyu, et al.
Pubblicazione: (2024)

AgroDesign: A Design-Aware Statistical Inference Framework for Agricultural Experiments in Python
di: Gul, Aqib
Pubblicazione: (2026)

Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
di: Diquigiovanni, Jacopo, et al.
Pubblicazione: (2021)

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
di: Huang, Shimeng, et al.
Pubblicazione: (2024)

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
di: Zivich, Paul N, et al.
Pubblicazione: (2025)

Adaptive truncation of infinite sums: applications to Statistics
di: Carvalho, Luiz Max, et al.
Pubblicazione: (2022)

MM Algorithms for Statistical Estimation in Quantile Regression
di: Cheng, Yifan, et al.
Pubblicazione: (2024)

Statistical tests for comparing the associations of multiple exposures with a common outcome in Cox proportional hazard models
di: Hamaya, Rikuta, et al.
Pubblicazione: (2024)

BMW: Bayesian Model-Assisted Adaptive Phase II Clinical Trial Design for Win Ratio Statistic
di: Zhu, Di, et al.
Pubblicazione: (2026)

Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
di: Wild, Romina, et al.
Pubblicazione: (2024)

Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19
di: Inouzhe, Hristo, et al.
Pubblicazione: (2023)

Statistical Process Monitoring based on Functional Data Analysis
di: Centofanti, Fabio
Pubblicazione: (2025)

A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
di: Molinari, Marco, et al.
Pubblicazione: (2024)

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
di: Krause, Joshua, et al.
Pubblicazione: (2025)

Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
di: Bobb, Jennifer F., et al.
Pubblicazione: (2026)

Statistical Models for the Inference of Within-person Relations: A Random Intercept Cross-Lagged Panel Model and Its Interpretation
di: Usami, Satoshi
Pubblicazione: (2026)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
di: Mao, Guangcai, et al.
Pubblicazione: (2025)