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Academic Journal

Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions.

Subjects: BAYESIAN analysis; GAUSSIAN processes; STOCHASTIC processes

  • Source: Neural Computation. Nov2018, Vol. 30 Issue 11, p3072-3094. 23p. 1 Color Photograph, 3 Charts, 9 Graphs.

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An alternative derivation of weak convergence concerning quasi-likelihood estimation with a small-sample correction for simultaneous testing.

Subjects: ERROR rates; MULTIPLE comparisons (Statistics); BIAS correction (Topology)

  • Source: Journal of Statistical Computation & Simulation. Mar2024, Vol. 94 Issue 4, p862-890. 29p.

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A deep hashing method of likelihood function adaptive mapping.

Subjects: IMAGE retrieval; DEEP learning; EIGENFUNCTIONS

  • Source: Neural Computing & Applications. Mar2023, Vol. 35 Issue 8, p5903-5921. 19p.

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Simultaneous confidence intervals of estimable functions based on quasi-likelihood in generalized linear models for over-dispersed data.

Subjects: CONFIDENCE intervals; ASYMPTOTIC distribution; MULTIPLE comparisons (Statistics)

  • Source: Journal of Statistical Computation & Simulation. Jan2021, Vol. 91 Issue 1, p108-127. 20p.

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Symbolic interval-valued data analysis for time series based on auto-interval-regressive models.

Subjects: TIME series analysis; DATA analysis; MONTE Carlo method

  • Source: Statistical Methods & Applications. Mar2021, Vol. 30 Issue 1, p295-315. 21p.

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Comparing DIC and WAIC for multilevel models with missing data.

Subjects: MISSING data (Statistics); MULTILEVEL models; DATA modeling

  • Source: Behavior Research Methods. Apr2024, Vol. 56 Issue 4, p2731-2750. 20p.

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Academic Journal

Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals.

Subjects: EXPECTATION-maximization algorithms; RANDOM effects model; INTEGRALS

  • Source: Journal of Computational & Graphical Statistics. Oct-Dec2023, Vol. 32 Issue 4, p1636-1648. 13p.

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Academic Journal

Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation.

Subjects: BAYESIAN analysis; PERCEPTUAL motor learning; COMPUTER simulation

  • Source: Neural Computation. Mar2017, Vol. 29 Issue 3, p735-782. 48p. 1 Diagram, 3 Charts, 11 Graphs.

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Academic Journal

A simple consistent Bayes factor for testing the Kendall rank correlation coefficient.

Subjects: CUMULATIVE distribution function; ASYMPTOTIC distribution; GAUSSIAN distributionKENDALL (Fla.)

  • Source: Journal of Statistical Computation & Simulation. Apr2023, Vol. 93 Issue 6, p888-903. 16p.

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Academic Journal

The taxicab sampler: MCMC for discrete spaces with application to tree models.

Subjects: MARKOV processes; MARKOV chain Monte Carlo; TAXICABS

  • Source: Journal of Statistical Computation & Simulation. Mar2023, Vol. 93 Issue 5, p753-774. 22p.

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  • 1-10 of  170 results for ""Likelihood Functions""