Zobrazeno 1 - 10
of 439
pro vyhledávání: '"Merkle, A. C."'
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on c
Externí odkaz:
http://arxiv.org/abs/2301.08667
Publikováno v:
Psychometrika 87 (2022) 1173-1193
Maximum likelihood estimation of generalized linear mixed models(GLMMs) is difficult due to marginalization of the random effects. Computing derivatives of a fitted GLMM's likelihood (with respect to model parameters) is also difficult, especially be
Externí odkaz:
http://arxiv.org/abs/2011.10414
Publikováno v:
Journal of Statistical Software (2021), volume 100, issue 6
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependen
Externí odkaz:
http://arxiv.org/abs/2008.07733
Cross-level interactions among fixed effects in linear mixed models (also known as multilevel models) are often complicated by the variances stemming from random effects and residuals. When these variances change across clusters, tests of fixed effec
Externí odkaz:
http://arxiv.org/abs/1901.05796
In this paper, we apply Vuong's (1989) general approach of model selection to the comparison of nested and non-nested unidimensional and multidimensional item response theory (IRT) models. Vuong's approach of model selection is useful because it allo
Externí odkaz:
http://arxiv.org/abs/1810.04734
Publikováno v:
Psychometrika 84 (2019) 802-829
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likel
Externí odkaz:
http://arxiv.org/abs/1802.04452
Autor:
Merkle, Ralph C., Freitas Jr., Robert A., Hogg, Tad, Moore, Thomas E., Moses, Matthew S., Ryley, James
Publikováno v:
ASME Journal on Mechanisms and Robotics 10:061006 (2018)
A new model for mechanical computing is demonstrated that requires only two basic parts: links and rotary joints. These basic parts are combined into two main higher level structures: locks and balances, which suffice to create all necessary combinat
Externí odkaz:
http://arxiv.org/abs/1801.03534
Autor:
Wang, Ting, Merkle, Edgar C.
While robust standard errors and related facilities are available in R for many types of statistical models, the facilities are notably lacking for models estimated via lme4. This is because the necessary statistical output, including the Hessian and
Externí odkaz:
http://arxiv.org/abs/1612.04911
Autor:
Merkle, Edgar C., Rosseel, Yves
Publikováno v:
Journal of Statistical Software (2018), 85(4), 1-30
This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with resid
Externí odkaz:
http://arxiv.org/abs/1511.05604
Autor:
Merkle, John C.
Publikováno v:
Journal of Social Encounters; 2024, Vol. 8 Issue 2, p338-343, 6p
