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The fate of scientific hypotheses often relies on the ability of a computational model to explain the data, quantified in modern statistical approaches by the likelihood function.
Parallel Gaussian process surrogate method to accelerate likelihood-free inference
Järvenpää, M., Gutmann, M., Vehtari, A., and Marttinen, P. (2019) · 1905
Earlier work this paper cites.
Eine neue herleitung des exponentialgesetzes in der wahrscheinlichkeitsrechnung
Lindeberg, J. W. (1922) · 1922
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A note on inverse probability
Haldane, J. B. S. (1932) · 1932
Earlier work this paper cites.
Unbiased estimates for certain binomial sampling problems with applications
Girshick, M., Mosteller, F., and Savage, L. (1946) · 1946
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Handbook of mathematical functions with formulas, graphs, and mathematical tables
Abramowitz, M. and Stegun, I. A. (1948) · 1948
Earlier work this paper cites.
Unbiased esimates
Kolmogorov, A. N. (1950) · 1950
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Dawson, R. (1953) · 1953
Earlier work this paper cites.
Stimulus information as a determinant of reaction time
Hyman, R. (1953) · 1953
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Unbiased sequential estimation for binomial populations
de Groot, M. H. (1959) · 1959
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Signal detection theory and psychophysics
Green, D. M. and Swets, J. A. (1966) · 1966
Earlier work this paper cites.
Monte Carlo sampling methods using Markov chains and their applications
Hastings, W. K. (1970) · 1970
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Akaike, H. (1974) · 1974
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Schwarz, G. et al. (1978) · 1978
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Bayes–Hermite quadrature
O’Hagan, A. (1991) · 1991
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Numerical recipes in C++
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. (1992) · 1992
Earlier work this paper cites.
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Kass, R. E. and Raftery, A. E. (1995) · 1995
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The theory of probability
Jeffreys, H. (1998) · 1998
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Efficient global optimization of expensive black-box functions
Jones, D. R., Schonlau, M., and Welch, W. J. (1998) · 1998
Earlier work this paper cites.
An introduction to variational methods for graphical models
Jordan, M. I., Ghahramani, Z., Jaakkola, T. S., and Saul, L. K. (1999) · 1999
Earlier work this paper cites.
Population growth of human Y chromosomes: a study of Y chromosome microsatellites
Pritchard, J. K., Seielstad, M. T., Perez-Lezaun, A., and Feldman, M. W. (1999) · 1999
Earlier work this paper cites.
Probability and measure theory
Ash, R. B., Robert, B., Doleans-Dade, C. A., and Catherine, A. (2000) · 2000
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Predicting the output from a complex computer code when fast approximations are available
Kennedy, M. C. and O’Hagan, A. (2000) · 2000
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The psychometric function: I. Fitting, sampling, and goodness of fit
Wichmann, F. A. and Hill, N. J. (2001) · 2001
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Model selection and multi-model inference: A practical information-theoretic approach
Anderson, D. and Burnham, K. (2002) · 2002
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Bayesian measures of model complexity and fit
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., and Van Der Linde, A. (2002) · 2002
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Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
Hansen, N., Müller, S. D., and Koumoutsakos, P. (2003) · 2003
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Information theory, inference and learning algorithms
Principles of computational modelling in neuroscience
Sterratt, D., Graham, B., Gillies, A., and Willshaw, D. (2011) · 2011
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Stochastic modelling for systems biology
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Cover, T. M. and Thomas, J. A. (2012) · 2012
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The psychometric function: The lapse rate revisited
Prins, N. (2012) · 2012
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Practical Bayesian optimization of machine learning algorithms
Snoek, J., Larochelle, H., and Adams, R. P. (2012) · 2012
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Variability in encoding precision accounts for visual short-term memory limitations
Van den Berg, R., Shin, H., Chou, W.-C., George, R., and Ma, W. J. (2012) · 2012
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MacKay, D. J. (2003) · 2003
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The dilogarithm function for complex argument
Maximon, L. C. (2003) · 2003
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Tutorial on maximum likelihood estimation
Myung, I. J. (2003) · 2003
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Estimation of entropy and mutual information
Paninski, L. (2003) · 2003
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Unbiased simulators for anaytic functions and maximum unbiased simulated likelihood estimation
Duncan, G. M. (2004) · 2004
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Variational Bayesian Monte Carlo with noisy likelihoods
Acerbi, L. (2020) · 2006
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Mesh adaptive direct search algorithms for constrained optimization
Audet, C. and Dennis Jr, J. E. (2006) · 2006
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Is psychology suffering from a replication crisis? What does “failure to replicate” really mean?
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Do people think like computers?
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Adapting the ABC distance function
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Variational Bayesian Monte Carlo
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An exploration of acquisition and mean functions in Variational Bayesian Monte Carlo
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Approximate Bayesian computation in population genetics
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Multi-fidelity optimization via surrogate modelling
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