Journal Article |
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12 months |
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Last month |
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12 months |
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A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development |
0 |
0 |
1 |
1 |
0 |
0 |
7 |
7 |

A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates |
0 |
0 |
0 |
13 |
1 |
1 |
2 |
66 |

A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
18 |

A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n-Consistent Conditional Estimator |
0 |
0 |
0 |
72 |
0 |
0 |
3 |
293 |

A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure |
0 |
0 |
2 |
56 |
0 |
1 |
3 |
133 |

A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework |
0 |
1 |
1 |
2 |
0 |
1 |
1 |
11 |

A bivariate finite mixture growth model with selection |
2 |
2 |
2 |
3 |
2 |
3 |
7 |
21 |

A causal hidden Markov model for assessing effects of multiple direct mail campaigns |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
2 |

A class of multidimensional IRT models for testing unidimensionality and clustering items |
0 |
0 |
0 |
101 |
0 |
1 |
1 |
312 |

A comparison between the g-index and the h-index based on concentration |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
14 |

A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
26 |

A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
59 |

A generalized multiple-try version of the Reversible Jump algorithm |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
41 |

A hidden Markov space–time model for mapping the dynamics of global access to food |
0 |
0 |
5 |
23 |
1 |
1 |
9 |
53 |

A latent Markov model for detecting patterns of criminal activity |
0 |
0 |
0 |
30 |
0 |
1 |
2 |
124 |

A latent class growth model for migrants’ remittances: an application to the German Socio‐Economic Panel |
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0 |
2 |
5 |
0 |
0 |
3 |
21 |

A note on the mixture transition distribution and hidden Markov models |
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0 |
0 |
18 |
0 |
0 |
1 |
88 |

A penalized version of the empirical likelihood ratio for the population mean |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
96 |

A recursive algorithm for Markov random fields |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
65 |

Adaptive Quadrature for Maximum Likelihood Estimation of a Class of Dynamic Latent Variable Models |
0 |
0 |
1 |
5 |
0 |
0 |
2 |
36 |

An Analysis of the Effect of Streaming on Civic Participation Through a Causal Hidden Markov Model |
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0 |
0 |
0 |
0 |
0 |
0 |
0 |

Analysis of Capture-Recapture Data with a Rasch-Type Model Allowing for Conditional Dependence and Multidimensionality |
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0 |
0 |
3 |
0 |
0 |
1 |
24 |

Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models |
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0 |
0 |
0 |
0 |
1 |
1 |
4 |

Assessment of School Performance Through a Multilevel Latent Markov Rasch Model |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
12 |

Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
26 |

Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures |
0 |
0 |
1 |
24 |
0 |
0 |
2 |
84 |

Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |

Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
1 |

Conditional inference for binary panel data models with predetermined covariates |
0 |
0 |
1 |
2 |
1 |
1 |
3 |
6 |

Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
3 |

Dealing with reciprocity in dynamic stochastic block models |
0 |
0 |
0 |
9 |
0 |
0 |
2 |
30 |

Developments of the Markov chain approach within the distribution theory of runs |
1 |
1 |
1 |
6 |
1 |
2 |
2 |
60 |

Differences in Birthweight Outcomes: A Longitudinal Study Based on Siblings |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
4 |

Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models |
0 |
0 |
2 |
12 |
0 |
0 |
2 |
55 |

Effects of individual and social factors on preterm birth and low birth weight: empirical evidence from regional data in Italy |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
14 |

Efficient Bayes factor estimation from the reversible jump output |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
48 |

Exploring the dependencies among main cryptocurrency log‐returns: A hidden Markov model |
0 |
0 |
1 |
8 |
1 |
1 |
5 |
17 |

Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling |
0 |
0 |
2 |
10 |
0 |
0 |
2 |
73 |

Focused Information Criterion for Capture–Recapture Models for Closed Populations |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
79 |

GDP dynamics and unemployment changes in developed and developing countries |
2 |
3 |
13 |
35 |
2 |
5 |
25 |
92 |

Item selection by latent class-based methods: an application to nursing home evaluation |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
44 |

Job satisfaction and compensating wage differentials: Evidence from Russia |
1 |
1 |
1 |
20 |
2 |
3 |
5 |
74 |

Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
8 |

Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates |
0 |
0 |
2 |
17 |
1 |
3 |
9 |
123 |

Latent variable models for the analysis of socio-economic data |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
36 |

Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities |
0 |
0 |
1 |
21 |
0 |
0 |
1 |
106 |

Likelihood inference on the underlying structure of IRT models |
0 |
0 |
1 |
23 |
0 |
0 |
1 |
69 |

Likelihood-based inference for asymmetric stochastic volatility models |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
51 |

Longitudinal analysis of self-reported health status by mixture latent auto-regressive models |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
57 |

Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market |
0 |
0 |
1 |
11 |
0 |
0 |
2 |
30 |

Maximum likelihood estimation of a latent variable time‐series model |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
6 |

Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
77 |

Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
44 |

Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
29 |

Modeling Partial Compliance Through Copulas in a Principal Stratification Framework |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
86 |

Modified Profile Likelihood for Fixed-Effects Panel Data Models |
0 |
0 |
1 |
9 |
0 |
0 |
1 |
37 |

MultiLCIRT: An R package for multidimensional latent class item response models |
0 |
1 |
2 |
46 |
1 |
4 |
10 |
181 |

Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
56 |

On a possible decomposition of the h-index |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
15 |

On a possible decomposition of the h‐index |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
6 |

On estimating the variance of the systematic sample mean |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
43 |

On the approximation of the quadratic exponential distribution in a latent variable context |
1 |
1 |
1 |
16 |
1 |
1 |
1 |
62 |

On the role of latent variable models in the era of big data |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
31 |

Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
9 |

Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins |
1 |
1 |
1 |
24 |
1 |
1 |
1 |
88 |

Primary-school class composition and the development of social capital |
0 |
0 |
1 |
3 |
0 |
0 |
2 |
15 |

Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data |
0 |
1 |
1 |
48 |
1 |
2 |
4 |
214 |

Ranking scientific journals via latent class models for polytomous item response data |
0 |
0 |
0 |
9 |
0 |
1 |
1 |
39 |

Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
3 |

Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
39 |

Tempered expectation-maximization algorithm for the estimation of discrete latent variable models |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
4 |

Testing for positive association in contingency tables with fixed margins |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
115 |

Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model |
0 |
0 |
1 |
8 |
0 |
0 |
1 |
26 |

Testing for state dependence in the fixed-effects ordered logit model |
0 |
1 |
3 |
3 |
0 |
1 |
6 |
8 |

Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data |
0 |
0 |
3 |
51 |
1 |
1 |
9 |
196 |

The use of mixtures for dealing with non-normal regression errors |
0 |
0 |
1 |
39 |
0 |
0 |
3 |
109 |

Three-step estimation of latent Markov models with covariates |
1 |
1 |
3 |
8 |
2 |
2 |
4 |
39 |

cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models |
1 |
2 |
3 |
12 |
1 |
2 |
4 |
73 |

Total Journal Articles |
10 |
16 |
63 |
1,019 |
22 |
47 |
177 |
4,374 |