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Keyword

normalizing constants

Description: Normalizing constants are factors used to scale mathematical functions or distributions so that their total probability or integral equals one.
Wikidata ID: wiki/Q2095069
OpenAlex ID: keywords/normalizing-constants
Approaches for Bayesian Variable Selection
1997 · Edward I. George, Robert E. McCulloch · 1,193
Annealed importance sampling
2001 · Radford M. Neal · Statistics and Computing · 1,172
Mean-Value Analysis of Closed Multichain Queuing Networks
1980 · M. Reiser, S. S. Lavenberg · Journal of the ACM · 1,154
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Simulating normalizing constants: from importance sampling to bridge sampling to path sampling
1998 · Andrew Gelman, Xiao-Li Meng · Statistical Science · 951
Estimation of Non-Normalized Statistical Models by Score Matching
2005 · Aapo Hyvärinen · 696
Convergence rates in the law of large numbers
1965 · Leonard E. Baum, Melvin Katz · Transactions of the American Mathematical Society · 599
Fast Sampling of Gaussian Markov Random Fields
2001 · Håvard Rue · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 363
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Estimating and understanding exponential random graph models
2013 · Sourav Chatterjee, Persi Diaconis · The Annals of Statistics · 355
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Sampling from multimodal distributions using tempered transitions
1996 · Radford M. Neal · Statistics and Computing · 343
Estimation of Non-Normalized Statistical Models by Score Matching
2005 · HyvärinenAapo · Journal of Machine Learning Research · 329
Markov chain Monte Carlo (MCMC) sampling methods to determine optimal models, model resolution and model choice for Earth Science problems
2009 · Kerry Gallagher, Karl Charvin, et al. · Marine and Petroleum Geology · 299
Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity
2007 · Adrian E Raftery, Michael A Newton, et al. · 287
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Queuing Networks with Multiple Closed Chains: Theory and Computational Algorithms
1975 · M. Reiser, H. Kobayashi · IBM Journal of Research and Development · 283
Spectroscopic factors for single-nucleon transfer in the A = 21–44 region
1977 · P.M. Endt · Atomic Data and Nuclear Data Tables · 265
The von Mises–Fisher Matrix Distribution in Orientation Statistics
1977 · C. G. Khatri, K. V. Mardia · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 240
bridgesampling: An R Package for Estimating Normalizing Constants
2020 · Quentin F. Gronau, Henrik Singmann, et al. · Journal of Statistical Software · 232
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Hyper Inverse Wishart Distribution for Non‐decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models
2002 · ALBERTO ROVERATO · Scandinavian Journal of Statistics · 231
Bayesian inference for exponential random graph models
2010 · Alberto Caimo, Nial Friel · Social Networks · 224
On the rate of convergence of normal extremes
1979 · Peter Hall · Journal of Applied Probability · 223
On a basis for ‘Peaks over Threshold’ modeling
1991 · M.R. Leadbetter · Statistics & Probability Letters · 210
Scalar densities and baryon mass differences in lattice QCD with Wilson fermions
1987 · L. Maiani, G. Martinelli, et al. · Nuclear Physics B · 201
Normalization of the Kolmogorov–Smirnov and Shapiro–Wilk tests of normality
2015 · Zofia Hanusz, Joanna Tarasińska · Biometrical Letters · 192
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Some extensions of score matching
2006 · Aapo Hyvärinen · Computational Statistics & Data Analysis · 174
A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models
2005 · Aliye Atay-Kayis, Hélène Massam · Biometrika · 164
Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge Sampling
1996 · Xiao-Li Meng, Stephen Schilling · Journal of the American Statistical Association · 161
Works count: 1,310
Citation count: 23,520
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