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The challenges posed by complex stochastic models used in computational ecology, biology and genetics have stimulated the development of approximate approaches to statistical inference.
Saddlepoint approximations in statistics
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Convex functions
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The estimation of the gradient of a density function, with applications in pattern recognition
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General saddlepoint approximations with applications to L
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Density estimation for statistics and data analysis
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On the empirical saddlepoint approximation
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Uniform convergence in probability and stochastic equicontinuity
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General saddlepoint approximations in the bootstrap
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On the relationship between empirical likelihood and empirical saddlepoint approximation for multivariate m-estimators
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Empirical saddlepoint approximations for multivariate m-estimators
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On sequential monte carlo sampling methods for bayesian f
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Asymptotic statistics
Van der Vaart, A. W. (2000) · 2000
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Empirical likelihood
Owen, A. B. (2001) · 2001
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Markov chain monte carlo without likelihoods
Marjoram, P., J. Molitor, V. Plagnol, and S. Tavaré (2003) · 2003
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Copula methods in f
Cherubini, U., E. Luciano, and W. Vecchiato (2004) · 2004
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Inference for nonlinear dynamical systems
Ionides, E. L., C. Bretó, and A. A. King (2006) · 2006
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Generating random correlation matrices based on partial correlations
Joe, H. (2006) · 2006
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A penalized version of the empirical likelihood ratio for the population mean
Bartolucci, F. (2007) · 2007
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Saddlepoint approximations with applications
Iterated f
Ionides, E. L., A. Bhadra, Y. Atchadé, and A. King (2011) · 2011
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Methods of multivariate analysis
Rencher, A. C. and W. F. Christensen (2012) · 2012
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A comparative review of dimension reduction methods in approximate bayesian computation
Blum, M., M. Nunes, D. Prangle, and S. Sisson (2013) · 2013
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Doucet, A., P. E. Jacob, and S. Rubenthaler (2013) · 2013
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A simple approach to maximum intractable likelihood estimation
Rubio, F. J., A. M. Johansen, et al. (2013) · 2013
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Technical note: Approximate bayesian parameterization of a process-based tropical forest model
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Butler, R. W. (2007) · 2007
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Enjoy the joy of copulas: with a package copula
Yan, J. et al. (2007) · 2007
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Simulating forest dynamics of a tropical montane forest in south ecuador
Dislich, C., S. Günter, J. Homeier, B. Schröder, and A. Huth (2009) · 2009
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Linear statistical inference and its applications
Rao, C. R. (2009) · 2009
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Approximate bayesian computation scheme for parameter inference and model selection in dynamical systems
Toni, T., D. Welch, N. Strelkowa, A. Ipsen, and M. P. Stumpf (2009) · 2009
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Efficient approximate bayesian computation coupled with markov chain monte carlo without likelihood
Wegmann, D., C. Leuenberger, and L. Excoffier (2009) · 2009
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Hartig, F., C. Dislich, T. Wiegand, and A. Huth (2014) · 2014
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Gps-abc: Gaussian process surrogate approximate bayesian computation
Meeds, E. and M. Welling (2014) · 2014
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Accelerating abc methods using gaussian processes
Wilkinson, R. (2014) · 2014
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Bayesian model comparison with intractable likelihoods
Everitt, R. G., A. M. Johansen, E. Rowing, and M. Evdemon-Hogan (2015) · 2015
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A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology
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