Multi-species count transformation models
Fuente:
arXiv
Saved in:
| Main Authors: | Graz, Lukas, Barbanti, Luisa, Brandl, Roland, Hothorn, Torsten |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Nonparanormal Likelihoods
by: Hothorn, Torsten
Published: (2024)
by: Hothorn, Torsten
Published: (2024)
Nonparanormal Adjusted Marginal Inference
by: Dandl, Susanne, et al.
Published: (2025)
by: Dandl, Susanne, et al.
Published: (2025)
Joint Estimation of Marginal and Heterogeneous Treatment Effects
by: Wuethrich, Leticia, et al.
Published: (2026)
by: Wuethrich, Leticia, et al.
Published: (2026)
Smooth Transformation Models for Survival Analysis: A Tutorial Using R
by: Siegfried, Sandra, et al.
Published: (2024)
by: Siegfried, Sandra, et al.
Published: (2024)
Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations
by: Sewak, Ainesh, et al.
Published: (2024)
by: Sewak, Ainesh, et al.
Published: (2024)
Generalised Linear Model Trees with Global Additive Effects
by: Seibold, Heidi, et al.
Published: (2016)
by: Seibold, Heidi, et al.
Published: (2016)
Simultaneous comparisons of the variances of k treatments with that of a control: a Levene-Dunnett type procedure
by: Hothorn, Ludwig A.
Published: (2024)
by: Hothorn, Ludwig A.
Published: (2024)
Bartholomew's trend test -- approximated by a multiple contrast test
by: Hothorn, Ludwig A.
Published: (2024)
by: Hothorn, Ludwig A.
Published: (2024)
Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
by: Sewak, Ainesh, et al.
Published: (2025)
by: Sewak, Ainesh, et al.
Published: (2025)
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
by: Lang, Moritz N., et al.
Published: (2020)
by: Lang, Moritz N., et al.
Published: (2020)
Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
by: Becher, Matthias, et al.
Published: (2024)
by: Becher, Matthias, et al.
Published: (2024)
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
by: Dandl, Susanne, et al.
Published: (2022)
by: Dandl, Susanne, et al.
Published: (2022)
Model-based causal feature selection for general response types
by: Kook, Lucas, et al.
Published: (2023)
by: Kook, Lucas, et al.
Published: (2023)
Spatio-temporal count autoregression
by: Maletz, Steffen, et al.
Published: (2024)
by: Maletz, Steffen, et al.
Published: (2024)
On the distribution of isometric log-ratio transformations under extra-multinomial count data
by: Kartiosuo, Noora, et al.
Published: (2024)
by: Kartiosuo, Noora, et al.
Published: (2024)
Tobit models for count time series
by: Weiß, Christian H., et al.
Published: (2024)
by: Weiß, Christian H., et al.
Published: (2024)
Negative binomial models for development triangles of counts
by: Nieto-Barajas, Luis E., et al.
Published: (2026)
by: Nieto-Barajas, Luis E., et al.
Published: (2026)
Sparsifying transform priors in Gaussian graphical models
by: Gehrmann, Marcus, et al.
Published: (2026)
by: Gehrmann, Marcus, et al.
Published: (2026)
An extended generalized Pareto regression model for count data
by: Ahmad, Touqeer, et al.
Published: (2022)
by: Ahmad, Touqeer, et al.
Published: (2022)
General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)
by: Yamauchi, Yuta, et al.
Published: (2024)
Overall marginalized models for longitudinal zero-inflated count data
by: Lee, Keunbaik, et al.
Published: (2025)
by: Lee, Keunbaik, et al.
Published: (2025)
Fractional binomial regression model for count data with excess zeros
by: Lee, Jeonghwa, et al.
Published: (2024)
by: Lee, Jeonghwa, et al.
Published: (2024)
Zero-inflated modeling with smoothing on counting tensors
by: Tuzhilina, Elena, et al.
Published: (2026)
by: Tuzhilina, Elena, et al.
Published: (2026)
New flexible versions of extended generalized Pareto model for count data
by: Ahmad, Touqeer, et al.
Published: (2024)
by: Ahmad, Touqeer, et al.
Published: (2024)
A more interpretable regression model for count data with excess of zeros
by: Pereira, Gustavo H. A., et al.
Published: (2025)
by: Pereira, Gustavo H. A., et al.
Published: (2025)
Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
by: Ghilotti, Lorenzo, et al.
Published: (2025)
by: Ghilotti, Lorenzo, et al.
Published: (2025)
A right-truncated Poisson mixture model for analyzing count data
by: Koladjo, Babagnidé François, et al.
Published: (2025)
by: Koladjo, Babagnidé François, et al.
Published: (2025)
Small area prediction of counts under machine learning-type mixed models
by: Frink, Nicolas, et al.
Published: (2024)
by: Frink, Nicolas, et al.
Published: (2024)
Bayesian factor zero-inflated Poisson model for multiple grouped count data
by: Kobayashi, Genya, et al.
Published: (2024)
by: Kobayashi, Genya, et al.
Published: (2024)
A Bayesian factor analysis model for high-dimensional microbiome count data
by: Ba, Ismaïla, et al.
Published: (2024)
by: Ba, Ismaïla, et al.
Published: (2024)
Forecasting age distribution of life-table death counts via α-transformation
by: Shang, Han Lin, et al.
Published: (2024)
by: Shang, Han Lin, et al.
Published: (2024)
A new over-dispersed count model
by: Nandi, Anupama, et al.
Published: (2023)
by: Nandi, Anupama, et al.
Published: (2023)
Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)
by: Chattopadhyay, Subhajit
Published: (2024)
Flexible model for varying levels of zeros and outliers in count data
by: Ahmad, Touqeer, et al.
Published: (2025)
by: Ahmad, Touqeer, et al.
Published: (2025)
Zero & $N$-inflated overdispersed binomial models for sum-constrained Poisson count processes
by: Sweeney, James, et al.
Published: (2014)
by: Sweeney, James, et al.
Published: (2014)
A robust contaminated discrete Weibull regression model for outlier-prone count data
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
Metacountregressor: A python package for extensive analysis and assisted estimation of count data models
by: Ahern, Zeke, et al.
Published: (2025)
by: Ahern, Zeke, et al.
Published: (2025)
Autoregressive hidden Markov models for high-resolution animal movement data
by: Stoye, Ferdinand V., et al.
Published: (2024)
by: Stoye, Ferdinand V., et al.
Published: (2024)
How to build your latent Markov model -- the role of time and space
by: Mews, Sina, et al.
Published: (2024)
by: Mews, Sina, et al.
Published: (2024)
Inference on state occupancy in covariate-driven hidden Markov models
by: Vienken, Maya N., et al.
Published: (2025)
by: Vienken, Maya N., et al.
Published: (2025)
Similar Items
-
On Nonparanormal Likelihoods
by: Hothorn, Torsten
Published: (2024) -
Nonparanormal Adjusted Marginal Inference
by: Dandl, Susanne, et al.
Published: (2025) -
Joint Estimation of Marginal and Heterogeneous Treatment Effects
by: Wuethrich, Leticia, et al.
Published: (2026) -
Smooth Transformation Models for Survival Analysis: A Tutorial Using R
by: Siegfried, Sandra, et al.
Published: (2024) -
Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations
by: Sewak, Ainesh, et al.
Published: (2024)