Posterior distributions for the ZIP model
Convergence rates of posterior distributions for noniid observations
... of posterior distributions and Bayes estimators based on observations which are required to be neither indepen- dent nor identically ...the posterior measure relative to distances derived from a ...
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On rates of convergence for posterior distributions in infinite–dimensional models.
... of posterior distributions Π n is said to be Hellinger consistent at f 0 , if the posterior mass on sets of the type A ε := {f : h(f, f 0 ) > ε} becomes negligible as the sample size n ...
17
Asymptotic normality of posterior distributions for generalized linear mixed models
... normal distributions that are obtained under different model assumptions for the random effects to detect the misspecification using sensitivity ...the model to the common assumption of normal ...
12
Problems in limit theory for martingales and posterior distributions from stochastic processes
... consistent estimators. His results are valid for the joint distribution of the parameter 0 and the observations Xi,...,Xn, • . •, and as such do not lead directly to conclusions valid for each individual 0-value, such as ...
108
On the use of i-vector posterior distributions in Probabilistic Linear Discriminant Analysis
... for this evaluation. These results clearly show that although the Asymmetric FP–PLDA introduces some approximations, it is still able to outperform standard PLDA in most of the conditions. In particular, it gains for ...
13
Validation of Bayesian posterior distributions using a multidimensional Kolmogorov-Smirnov test
... derived posterior probability distributions are a truthful represen- tation of the actual parameter constraints one can infer from the data in the context of a given physical ...to posterior ...
16
Estimation of genotype distributions and posterior genotype probabilities for beta-mannosidosis in Salers cattle.
... T h e effects of this reduction in variance on the pos- terior probabilities of carrier genotype for animals of differing gender, age, carrier status and number of repe[r] ...
14
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density.
... the posterior distributions under specific types of priors corresponding to different mixtures of ...a posterior rate of concentration when the scale parameter of the Betas is fixed (depending on n) ...
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A model of competing species that exhibits zip bifurcation
... Our model is theoretical and clearly only satisfies the competitive exclusion principle when the carrying capacity of the habitat indefinitely ...could model a very special kind of population species; it ...
15
Inferentially Valid, Partially Synthetic Data: Generating from Posterior Predictive Distributions not Necessary
... from Posterior Predictive Distributions not Necessary Jerome ...Bayesian posterior predictive distributions; that is, one draws repeated values of parameters in the synthesis models before ...
8
Black-Litterman model for continuous distributions
... between distributions of single assets and their ...of posterior distribution for all ...of distributions, it enables a simple comparison with the original Black-Litterman ...contains ...
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Distributions of cherries and pitchforks for the Ford model
... alpha model, a one-parameter family of ran- dom phylogenetic tree models which includes as specific instances of both the uniform and the Yule models, two tree models commonly used in ...
25
A joint calibration model for combining predictive distributions
... JCM, as well as Bayesian Model Averaging (BMA), is designed to produce probabilistic forecasts, and as a by-product also produces deterministic forecasts. The performance of JCM with respect to BMA has been ...
10
Distributions of Maximum Likelihood Estimators and Model Comparisons
... statistical model Consider the probability density function of the MLE from a specified statistical ...the model that is assumed for ...estimation model is one of a number of possible candidate ...
7
EmojiGAN: learning emojis distributions with a generative model
... of model- ing social media posts through a generative adver- sarial network over ...correctly model the context-dependent connota- tions (Jibril and Abdullah, 2013) of ...
7
A queueing theory model of word frequency distributions
... 1 Introduction When a given term occurs in a document, what is the probability that it will occur again, and how will this probability change when you have seen , or instances of this term? While NLP is a vast field, the ...
8
Distributions of model microorganisms along an estuarine gradient
... distribution patterns. Arguably, the global microbial communities should change all along the estuary, as shown here at least for Desulfobulbus and Methanosarcina. Such patterns have been previously reported based on ...
137
Measuring the Ability of Score Distributions to Model Relevance
... to model the scores using two gamma distributions ...mixture model by using the inference of performance ...accurately model the relevance contained within, and is not only of practical ...
12
Morzfeld, M., et al. "Localization for MCMC: sampling highdimensional posterior distributions with local structure." Journal of
... high-dimensional posterior distri- butions arising in Bayesian inverse ...which posterior moments of the localized problem are close to those of the original ...
41
A Posterior Union Model with Applications to Robust Speech and Speaker Recognition
... new model in stationary band-selective ...union model for comparison. The model, based on (10), used a fixed order M over the duration of each test ut- terance that matched the number of noisy ...
12