The joint posterior and conditional posteriors
Posterior consistency of nonparametric conditional moment restricted models
... nonparametric conditional mo- ment restricted model that involves an infinite dimensional parameter g 0 ...the posterior consistency: (i) truncated prior (priors supported on a bounded set), (ii) thin- tail ...
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The joint asymptotic normality of the conditional quantiles
... a joint distribution function ...the conditional quantiles of Y for a given value of X based on a random sample from the above distribution, which was proposed by ...the joint asymptotic normality of ...
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Posterior Consistency in Conditional Density Estimation by Covariate Dependent Mixtures
... of conditional distributions is an important problem in em- pirical ...modeling conditional densities in the Bayesian framework. First, the conditional distributions of interest can be obtained as a ...
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Joint and Conditional Estimation of Tagging and Parsing Models
... with conditional estimators, and it would be interesting to know whether conditional estimation affects the quality of the estimated ...shows, conditional estimators can be used with other kinds of ...
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Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
... using posterior-decoding. Although any accuracy measure that is acceptable as a single performance measure can be used to guide the design of the util- ity function, metric-based accuracy measures have several ...
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On the properties of variational approximations of Gibbs posteriors
... The PAC-Bayesian approach is a powerful set of techniques to derive non-asymptotic risk bounds for random estimators. The corresponding optimal distribution of estimators, usually called the Gibbs posterior, is ...
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Joint Diagnostic Tests for Conditional Mean and Variance Specifications
... JEL No. C12, C14, C52. ABSTRACT This article proposes a general class of joint diagnostic tests for parametric conditional mean and variance models of possibly nonlinear and/or non-Markovian time series ...
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Sacroiliac joint tuberculosis: surgical management by posterior open window focal debridement and joint fusion
... sacroiliac joint and lumbosacral spine,SJT may mimic various pathologies; for example, myofascitis, lumbar in- stability, lumbar intervertebral disc herniation, or anky- losing spondylitis et ...sacroiliac ...
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On Structured Sparsity of Phonological Posteriors for Linguistic Parsing
... phonological posterior features that consist of phonological class probabilities given a segment of input speech ...class-conditional posterior probabilities are es- timated using a Deep Neural ...
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Boosting Nearest Neighbors for the Efficient Estimation of Posteriors
... the conditional class probabili- ties estimation standpoint, without the overfitting problem of classical boosting ...for posteriors estimation also emerges, beating it by orders of magnitude on simulated ...
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Joint and Marginal Diagnostic Tests for Conditional Mean and Variance Specifications
... correct joint speci…cation of the conditional mean and variance 1 ...few conditional variance speci…cation tests have been ...order conditional moments of unknown form and highly persistent ...
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Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks
... the conditional PCRLB comes from the fact that it utilizes the infor- mation contained in the observation data up to the current time for a particular realization of the system state, which makes it an online ...
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Correcting General Purpose ASR Errors using Posteriors
... the posterior P ∗ , used to correct ”men ...a posterior approach to repair the output of a general purpose ASR engine as de- picted in detail in Algorithm ...
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Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration
... for posterior distributions and cointegration rank determination based on posterior ...and posteriors of the parameters of the cointegration model are now obtained by putting the matrix that models ...
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Enhanced Phone Posteriors for Improving Speech Recognition Systems
... approaches, posteriors are estimated using ANNs (more specifically MLPs), based only on the acoustic information in a local frame or a limited number of local ...these posteriors “MLP posteriors” or ...
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Hybrid Events Joint Entropy and Conditional Entropy Based on Chance Measure
... the joint entropy of hybrid vector and the conditional entropy of a hybrid variable given another, and give the form of conditional entropy with discrete random fuzzy variable and discrete fuzzy ...
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Monthly river flow simulation with a joint conditional density estimation network
... thetic data set simulated from a known bivariate distribu- tion, which was designed such that it can mimic typical behavior of seasonal variability of monthly river flow. The Clayton copula was used to construct the ...
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Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints
... The constraints could be in the form of biases based upon world knowledge that are provided by the do- main experts, or they could determined empirically by analysis of related domains which expose rela- tionships among ...
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Sonographically Guided Posterior Subtalar Joint Injections via the Sinus Tarsi Approach
... to posterior and pass just superficial and adjacent to the superior sur- face of the ...of posterior recess distension in our first 5 speci- mens, the primary investigator elected to dynamically monitor the ...
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Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
... Lines 9 , 10 add the n-gram posterior scores. Given the indices in b and y it is straightforward to read the unique histories for the B open hy- potheses: the topology of the hypothesis space is that of a tree ...
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