The following pages link to Eva Ceulemans (Q263297):
Displaying 32 items.
- (Q109198) (redirect page) (← links)
- Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations (Q109199) (← links)
- ConNEcT: An R package to build contingency measure-based networks on binary time series (Q109200) (← links)
- The real-valued model of hierarchical classes (Q263298) (← links)
- On the added value of bootstrap analysis for \(K\)-means clustering (Q269548) (← links)
- (Q316763) (redirect page) (← links)
- KSC-N: clustering of hierarchical time profile data (Q316764) (← links)
- (Q525228) (redirect page) (← links)
- Principal covariates clusterwise regression (PCCR): accounting for multicollinearity and population heterogeneity in hierarchically organized data (Q525229) (← links)
- The CLASSI-N method for the study of sequential processes (Q659074) (← links)
- (Q692413) (redirect page) (← links)
- The SIMCLAS model: simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks (Q692415) (← links)
- Selecting among multi-mode partitioning models of different complexities: a comparison of four model selection criteria (Q734363) (← links)
- CLASSI: A classification model for the study of sequential processes and individual differences therein (Q946678) (← links)
- Simultaneous analysis of coupled data blocks differing in size: a comparison of two weighting schemes (Q961240) (← links)
- The CHIC model: a global model for coupled binary data (Q998843) (← links)
- Three-mode partitioning (Q1010515) (← links)
- Uniqueness of \(N\)-way \(N\)-mode hierarchical classes models. (Q1404960) (← links)
- Adapting the formal to the substantive: constrained Tucker3-HICLAS (Q1762827) (← links)
- ConNEcT: a novel network approach for investigating the co-occurrence of binary psychopathological symptoms over time (Q2141640) (← links)
- A systematic study into the factors that affect the predictive accuracy of multilevel VAR(1) models (Q2152398) (← links)
- Tucker3 hierarchical classes analysis (Q2259880) (← links)
- Tucker2 hierarchical classes analysis (Q2259996) (← links)
- Hierarchical classes models for three-way three-mode binary data: interrelations and model selection (Q2260040) (← links)
- Factorial and reduced \(K\)-means reconsidered (Q2445639) (← links)
- Modeling differences in the dimensionality of multiblock data by means of clusterwise simultaneous component analysis (Q2452352) (← links)
- The local minima problem in hierarchical classes analysis: an evaluation of a simulated annealing algorithm and various multistart procedures (Q2517881) (← links)
- Hierarchical classes modeling of rating data (Q2517888) (← links)
- The Generic Subspace Clustering Model (Q3298486) (← links)
- (Q3498120) (← links)
- (Q3498139) (← links)
- A clusterwise simultaneous component method for capturing within‐cluster differences in component variances and correlations (Q4614598) (← links)
