An overview of composite likelihood methods
A survey of recent developments in the theory and application of composite likelihood is
provided, building on the review paper of Varin (2008). A range of application areas …
provided, building on the review paper of Varin (2008). A range of application areas …
The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models
CR Bhat - Transportation Research Part B: Methodological, 2011 - Elsevier
The likelihood functions of multinomial probit (MNP)-based choice models entail the
evaluation of analytically-intractable integrals. As a result, such models are usually …
evaluation of analytically-intractable integrals. As a result, such models are usually …
On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level
This paper proposes a new spatial multivariate count model to jointly analyze the traffic
crash-related counts of pedestrians and bicyclists by injury severity. The modeling …
crash-related counts of pedestrians and bicyclists by injury severity. The modeling …
A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections
This paper proposes a reformulation of count models as a special case of generalized
ordered-response models in which a single latent continuous variable is partitioned into …
ordered-response models in which a single latent continuous variable is partitioned into …
Computationally efficient composite likelihood statistics for demographic inference
Many population genetics tools employ composite likelihoods, because fully modeling
genomic linkage is challenging. But traditional approaches to estimating parameter …
genomic linkage is challenging. But traditional approaches to estimating parameter …
A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables
CR Bhat - Transportation Research Part B: Methodological, 2015 - Elsevier
This paper formulates a generalized heterogeneous data model (GHDM) that jointly handles
mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal …
mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal …
Testing for ancient selection using cross-population allele frequency differentiation
F Racimo - Genetics, 2016 - academic.oup.com
A powerful way to detect selection in a population is by modeling local allele frequency
changes in a particular region of the genome under scenarios of selection and neutrality and …
changes in a particular region of the genome under scenarios of selection and neutrality and …
Parental attitudes toward children walking and bicycling to school: multivariate ordered response analysis
Recent research suggests that, besides traditional sociodemographic and built environment
attributes, the attitudes and perceptions of parents toward walking and bicycling play a …
attributes, the attitudes and perceptions of parents toward walking and bicycling play a …
Model for children's school travel mode choice: accounting for effects of spatial and social interaction
Numerous programs aimed at enhancing the choice of bicycling and walking as modes of
choice for children's trips to and from school are being implemented by public agencies …
choice for children's trips to and from school are being implemented by public agencies …
Minimum scoring rule inference
Proper scoring rules are devices for encouraging honest assessment of probability
distributions. Just like log‐likelihood, which is a special case, a proper scoring rule can be …
distributions. Just like log‐likelihood, which is a special case, a proper scoring rule can be …