negative log-likelihood estimates
On Log Likelihood Ratios and the Significance of Rare Events
... cant negative association than a positive association, so 40,000,000 seems likely to be a upper bound on how many word pairs are significantly nonindepen- ...our estimates of expected ...conservative ...
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Automated Scalable Bayesian Inference via Hilbert Coresets
... the estimates with points in each cluster far from its ...same negative test log-likelihood as the full data set in roughly a tenth of the computation ...
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Models for Count Data in the Presence of Outliers and/or Excess Zero
... Maximum likelihood estimation method was employed in estimating the ...and log likelihood statistics, putting into consideration Poisson, Negative Binomial, Zero Inflated Poisson and Zero ...
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Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... Abstract: Log-linear models are typically fitted to contingency table data to de- scribe and identify the relationship between different categorical ...given log-linear model is parameter redundant for a ...
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Stochastic Composite Likelihood
... The nature of the Boltzmann chain constrains our feature set to only encode the particular token present at each position, or time index. In doing so we avoid having to model additional depen- dencies across time steps ...
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Scaled Log Likelihood Ratios for the Detection of Abbreviations in Text Corpora
... The detection of abbreviations in a text corpus forms one of the initial steps in tokenization (cf. Liberman/Church 1992). This is not a trivial task, since a tokenizer is confronted with am- biguous tokens. For English, ...
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Maximum Likelihood Estimation of Discrete Log-Concave Distributions with Applications
... maximum likelihood estimator of our new defined class PMF exists and is ...extendible- log-concave ...the log-concave class is able to strike between robustness and ...
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Asymptotics of fingerprinting and group testing: capacityachieving log-likelihood decoders
... A different area of research that has received considerable attention in the last few decades is group testing, introduced by Dorfman [12] in the 1940s. Suppose a large population contains a small number c of infected ...
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Latent Variable Dialogue Models and their Diversity
... the negative log-likelihood of the training data, and then at generation time either perform beam search to find the output Y which maximises P (Y |input) (Shang et ...
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A Margin based Loss with Synthetic Negative Samples for Continuous output Machine Translation
... which negative samples are synthesized using only the predicted and target embeddings, without sam- pling from or searching through the large pre- trained embedding space ...select negative samples randomly ...
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arxiv: v4 [cs.ro] 28 Oct 2020
... Abstract— In the recent vehicle trajectory prediction lit- erature, the most common baselines are briefly introduced without the necessary information to reproduce it. In this article we produce reproducible vehicle ...
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Characterization and estimation of the length biased Nakagami distribution
... In this paper, we introduce the length biased form of the Nakagami distribution known as length biased Nakagami distribution (LBND). Some properties of the model were studied such as moments, reliability function, and ...
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Enrichment of statistical power for genome-wide association studies
... Twice negative log likelihood; CMLM: compressed mixed linear model; COM: complete linkage; ECMLM: enriched compressed mixed linear model; FDR: false discovery rate; FLE: Lance-Williams flexible-beta ...
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The Dual of the Maximum Likelihood
... The notion of the dual specification of a statistical problem is not likely familiar to a wide audience of statisti- cians in spite of the fact that a large body of statistical methodology relies explicitly on the ...
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Comparative Assessment of Sensitivity and Specificity of Rose Bengal Test and Modified In-House ELISA by using IS711 Taqman Real Time PCR Assay as a Gold Standard for the Diagnosis of Bovine Brucellosis
... Rose Bengal Test was applied to serologically estimate the prevalence of brucellosis associated with Egyptian abattoirs. All serum samples were tested for agglutination against Brucella antigen using (PrioCHECK® Brucella ...
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arxiv: v1 [stat.me] 2 Dec 2020
... tails at the positive axis on the real line, q-deformation can be used as an alternative solution to produce heavy-tailed functions [38]. It should be noted that log q (f ) = f 1−q 1−q −1 , f ∈ [0, 1], q ∈ R \{1} ...
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Robustness of maximum likelihood estimates for mixed Poisson regression models
... Gustafson (1996) used an influence function approach (Hampel et al., 1986) (Huber, 1981) to examine the robustness of maximum likelihood estimates for certain conjugate mixture models un[r] ...
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Jointly Learning to Align and Translate with Transformer Models
... • We use a multi-task loss function combin- ing negative log likelihood NLL loss used in regular NMT model training and an align- ment loss supervising one attention head to learn alignm[r] ...
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First observation of the charmless decay B+ > K+π0π0 and study of the Dalitz plot structure
... Maximum likelihood fitting is a method widely used in particle physics analysis and a few software packages exist that allow performing such fits. Minuit [58] is an ex- ample of such a package capable of ...
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On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... maximum likelihood estimator of the GPD parameter have been studied in many articles including the important works of Davison [2] and ...maximum likelihood estimators have a consistent estimator of the ...
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