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- Ultimate Pólya Gamma Samplers
- Partial Least Squares Regression and Projection on Latent Structure Regression (PLS Regression)
- What Is Latent Structure Analysis?
- Latent Variable Enriched Mode Choice Model for Work Activity in Multi Modal Condition Prevalent in India
- A Cognitive Latent Variable Model for the Simultaneous Analysis of Behavioral and Personality Data
- A Nontechnical Introduction to Latent Class Models What Are Latent
- LATENT VARIABLE MODELLING and ITEM RESPONSE THEORY ANALYSES in MARKETING RESEARCH Justyna Brzezińska, Ph.D. Abstract Keywords
- Wright, AGC (In Press). Latent Variable Models in Clinical
- Latent Variables
- Latent Variable Structural Equation Modeling with Categorical Data*
- The Basics of Structural Equation Modeling Diana Suhr, Ph.D
- Psychology 454: Latent Variable Modeling
- Factor Analysis
- Structured Latent Factor Analysis for Large-Scale Data: Identifiability, Estimability, and Their Implications
- Introduction to Structural Equation Modeling with Latent Variables This Document Is an Individual Chapter from SAS/STAT® 14.1 User’S Guide
- Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: a Commentary and Reanalysis
- Latent Discriminant Analysis with Representative Feature Discovery
- Lecture 9: Continuous Latent Variable Models
- Partial Least Squares Regression. Projection on Latent Structures
- A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors Yichi Zhang1, Siyu Tao1, Wei Chen1, and Daniel W
- 7223-Causal-Effect-Inference-With-Deep-Latent-Variable-Models
- Latent Variables in Psychology and the Social Sciences
- Statistical Approaches to Analyzing Well-Being Data by Michael Eid, Free University of Berlin
- A Robust and Flexible Alternative to Fisher Discriminant Analysis Charles Bouveyron, Camille Brunet
- On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives1
- Latent Variable Modeling in Heterogeneous Populations
- Introduction to Structural Equation Modeling Using Stata
- Structural Equation Modeling Using AMOS an Introduction
- Using Latent Variable Models to Improve Causal Estimation
- LNCS 3954, Pp
- Latent Variable Models with Applications to Spectral Data Analysis
- Latent Variable Models for Dimensionality Reduction
- Modeling the Social Factors That Determine Sustainable Consumption Behavior in the Community of Madrid
- Thinking Twice About Sum Scores Daniel Mcneish1 & Melissa
- Probabilistic Principal Component Analysis
- Gaussian Process Structural Equation Models with Latent Variables
- Structural Equation Models and the Quantification of Behavior
- Using Principal Component Analysis to Validate Psychological Scales: Bad Statistical Habits We Should Have Broken Yesterday II
- Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-Specific Confounder Variables
- CPSC 540: Machine Learning Probabilistic PCA, Factor Analysis, Independent Component Analysis
- Latent Coincidence Analysis: a Hidden Variable Model for Distance Metric Learning
- Probabilistic Non-Linear Principal Component Analysis with Gaussian Process Latent Variable Models