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Identifiability of Gaussian linear structural equation models with homogeneous and heterogeneous error variances
In this work, we consider the identifiability assumption of Gaussian linear structural equation models (SEMs) in which each variable is determined by...
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Penalized Latent Dirichlet Allocation Model in Single-Cell RNA Sequencing
Single-cell RNA sequencing (scRNA-seq) quantifies RNA transcripts at individual cell level, providing cellular-level resolution of gene expression...
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Extensions of the Classical Linear Model
This chapter discusses several extensions of the classical linear model. We first describe the general linear model and its applications in Sect. 4.1.
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A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals
This work is motivated by an application for the homogenization of global navigation satellite system (GNSS)-derived integrated water vapour series....
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A bivariate finite mixture growth model with selection
A model is proposed to analyze longitudinal data where two response variables are available, one of which is a binary indicator of selection and the...
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Local Signal Detection for Categorical Time Series
Frequency domain signal detection for qualitative-valued time series was developed under the assumption of homogeneity using the concept of the...
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Discovery Among Binary Biomarkers in Heterogeneous Populations
Biomarkers have great potential to improve disease diagnosis and treatment. Disease may arise via multiple pathways, however, each associated with...
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Duality Between the Local Score of One Sequence and Constrained Hidden Markov Model
We are interested here in a theoretical and practical approach for detecting atypical segments in a multi-state sequence. We prove in this article...
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Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters
In this paper, we consider problem of variable selection in higher-order partially linear spatial autoregressive model with a diverging number of...
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Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model
Mortality deceleration, or the slowing down of death rates at old ages, has been repeatedly investigated, but empirical studies of this phenomenon...
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Local Spectral Analysis of Qualitative Sequences via Minimum Description Length
The idea of signal detection in the frequency domain for qualitative-valued time series was developed in Stoffer et al. (Biometrika 80(3):611–622,...
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A Component Multiplicative Error Model for Realized Volatility Measures
We propose a component Multiplicative Error Model (MEM) for modelling and forecasting realized volatility measures. In contrast to conventional MEMs,...
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Model-Based Clustering
This chapter deals with the model-based approach to clustering based on a probability model, specifically the Finite Mixture Model (FMM). Within such...
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Person Parameter Estimation for IRT Models of Forced-Choice Data: Merits and Perils of Pseudo-Likelihood Approaches
The Thurstonian IRT model for forced-choice data (Brown A, Maydeu-Olivares A, Educ Psychol Measur 71:460–502, 2011) capitalizes on including...
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Robust estimation and variable selection in heteroscedastic regression model using least favorable distribution
The assumption of equal variances is not always appropriate and different approaches for modelling variance heterogeneity have been widely studied in...
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Better than the best? Answers via model ensemble in density-based clustering
With the recent growth in data availability and complexity, and the associated outburst of elaborate modelling approaches, model selection tools have...
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Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection—rejoinder
Many existing procedures for detecting multiple change-points in data sequences fail in frequent-change-point scenarios. This article proposes a new...
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A new approach to modeling the cure rate in the presence of interval censored data
We consider interval censored data with a cured subgroup that arises from longitudinal followup studies with a heterogeneous population where a...
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Optimal dichotomization of bimodal Gaussian mixtures
Despite criticism for loss of information and power, dichotomization of variables is still frequently used in social, behavioral, and medical...
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A Unified Approach to Hierarchical Random Measures
Hierarchical models enjoy great popularity due to their ability to handle heterogeneous groups of observations by leveraging on their underlying...
