https://epws.org/tag/bayesian-distributional-latent-variable-models/
Bayesian distributional latent-variable models Archives • European Platform of Women Scientists EPWS
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https://tiao.io/tags/latent-variable-models/
Latent Variable Models | Louis Tiao
Louis Tiao - Research Scientist at Meta. Machine learning, Gaussian processes, Bayesian optimization.
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https://www.cs.toronto.edu/~suo/publication/casas-2020-implicit/
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting | Simon Suo
Jan 1, 2020 - To achieve safe and proactive self-driving, an autonomous vehicle must accurately perceive its environment, and understand the interactions among traffic...
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https://www.unipegaso.iris.cineca.it/handle/20.500.12607/20141
A deep learning latent variable model to identify children with autism through motor abnormalities
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https://experts.illinois.edu/en/publications/sparse-overcomplete-latent-variable-decomposition-of-counts-data-4/fingerprints/
Sparse overcomplete latent variable decomposition of counts data - Fingerprint - Illinois Experts
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https://proceedings.mlr.press/r5/blitzer05a.html
Distributed Latent Variable Models of Lexical Co-occurrences
Jan 6, 2005 - Distributed Latent Variable Models of Lexical Co-occurrencesJohn Blitzer, Amir Globerson, Fernando Pereira
latent variabledistributedmodelslexicaloccurrences
https://instats.org/seminar/from-cfa-to-sem-with-latent-variable-int3
From CFA to SEM with Latent Variable Interactions in Mplus with Yihao Liu | Instats
latent variablecfaseminteractionsliu
https://ourarchive.otago.ac.nz/esploro/outputs/journalArticle/Polya-gamma-data-augmentation-and-latent-variable/9926514953701891
Polya-gamma data augmentation and latent variable models for multivariate binomial data -...
Jan 1, 2022 - New Zealand police has long been suspected of systematic bias against the indigenous Maori. One resource available to investigate this possibility is the...
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https://dspace-test.anu.edu.au/items/7ec2a071-5033-4e9e-9c1c-7c46ea1f96bd
Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology
In this paper we consider generalized linear latent variable models that can handle overdispersed counts and continuous but non-negative data. Such data are...
latent variablegeneralizedlinearmodelsmultivariate
https://mcml.ai/publications/fds+22/
MCML - Half-Trek Criterion for Identifiability of Latent Variable Models
Details on publication FDS+22
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https://cris.huji.ac.il/en/publications/learning-binary-latent-variable-models-a-tensor-eigenpair-approac/
Learning binary latent variable models: A tensor eigenpair approach - The Hebrew University of...
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https://umd-cilvr.catalog.instructure.com/
Center for Integrated Latent Variable Research
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https://www.jmlr.org/papers/v17/14-401.html
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview
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https://turinglang.org/v0.31/tutorials/12-gplvm/
Gaussian Process Latent Variable Model
Gaussian Process Latent Variable Model
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https://eric.ed.gov/?id=EJ646448
ERIC - EJ646448 - Comparison of Methods for Estimating and Testing Latent Variable Interactions.,...
Used simulation to compare structural equation modeling methods for estimating and testing hypotheses about an interaction between continuous variables....
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https://research.wu.ac.at/de/publications/properties-of-latent-variable-network-models-3/
Properties of latent variable network models - WU Wirtschaftsuniversität Wien
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https://www.disia.unifi.it/vp-623-latent-variable-models-and-dimensionality-reduction-methods-for-complex-data.html
Latent variable models and dimensionality reduction methods for complex data | Ricerca, innovazione...
Latent variable models and dimensionality reduction methods for complex data
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https://portal.mardi4nfdi.de/wiki/Assessing_the_treatment_effect_heterogeneity_with_a_latent_variable
Assessing the treatment effect heterogeneity with a latent variable - MaRDI portal
the treatmentlatent variableassessingeffectheterogeneity
https://dash.harvard.edu/entities/publication/73120378-c990-6bd4-e053-0100007fdf3b
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Point processes are popular models of neural spiking behavior as they provide a statistical distribution over temporal sequences of spikes and help to reveal...
determinantal point processlatent variable modelinhibitionneuralspiking
https://crdcn.ca/publication/latent-variable-mixture-models-a-promising-approach-for-the-validation-of-patient-reported-outcomes/
Latent variable mixture models: A promising approach for the validation of patient reported...
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https://experts.illinois.edu/en/publications/mcmc-stopping-rules-in-latent-variable-modelling/
MCMC stopping rules in latent variable modelling - Illinois Experts
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