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Among Monte Carlo techniques, the importance sampling requires fine tuning of a proposal distribution, which is now fluently resolved through iterative schemes.
Stochastic Simulation
Ripley, B. (1987) · 1987
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Advances in Importance Sampling
Hesterberg, T. (1988) · 1988
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Probability and measure
Billingsley, P. (1995) · 1995
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Coalescents and genealogical structure under neutrality
Donnelly, P. and Tavaré, S. (1995) · 1995
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Weighted average importance sampling and defensive mixture distributions
Hesterberg, T. (1995) · 1995
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Optimally Comabining Sampling Techniques For Monte Carlo Rendering
Veach, E. and Guibas, L. (1995) · 1995
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Safe and Effective Importance Sampling
Owen, A. and Zhou, Y. (2000) · 2000
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Population Monte Carlo
Cappé, O., Guillin, A., Marin, J.-M., and Robert, C. P. (2004) · 2004
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Central Limit Theorem for Sequential Monte Carlo Methods and Its Application to Bayesian Inference
Chopin, N. (2004) · 2004
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An adaptive importance sampling technique
Pennanen, T. and Koivu, M. (2004) · 2004
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The cross-entropy method. A unified approach to combinatorial optimization, Monte-Carlo simulation, and machine Learning
Rubinstein, R. and Kroese, D. (2004) · 2004
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Cappé, O., Moulines, E., and Rydén, T. (2005) · 2005
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Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models
De Iorio, M., Griffiths, R. C., Leblois, R., and Rousset, F. (2005) · 2005
Limit theorems for weighted samples with applications to Sequential Monte Carlo Methods
Douc, R. and Moulines, E. (2008) · 2008
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Monte Carlo Strategies in Scientific Computing
Liu, J. S. (2008) · 2008
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IBDSim : A computer program to simulate genotype data under Isolation By Distance
Leblois, R., Estoup, A., and Rousset, F. (2009) · 2009
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Reconstructing population histories from single-nucleotide polymorphism data
Sirén, J., Marttinen, P., and Corander, J. (2010) · 2010
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Adaptive Multiple Importance Sampling
Cornuet, J.-M., Marin, J.-M., Mira, A., and Robert, C. P. (2012) · 2012
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Likelihood-Based Inferences under Isolation by Distance: Two-Dimensional Habitats and Confidence Intervals
Rousset, F. and Leblois, R. (2012) · 2012
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Adaptive importance sampling in general mixture classes
Cappé, O., Guillin, A., Marin, J.-M., and Robert, C. P. (2008) · 2008
Cited alongside, same era.
Convergences of adaptive mixtures of importance sampling schemes
Douc, R., Guillin, A., Marin, J. M., and Robert, C. P. (2007a)
Cited in the paper.
Minimum variance importance sampling via Population Monte Carlo
Douc, R., Guillin, A., Marin, J.-M., and Robert, C. P. (2007b)
Cited in the paper.
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