-
1
-
-
84869057921
-
A novel approach for choosing summary statistics in approximate Bayesian computation
-
Aeschbacher S., Beaumont M., Futschik A. 2012. A novel approach for choosing summary statistics in approximate Bayesian computation. Genetics 192:1027-1047.
-
(2012)
Genetics
, vol.192
, pp. 1027-1047
-
-
Aeschbacher, S.1
Beaumont, M.2
Futschik, A.3
-
3
-
-
84922879858
-
The rate of convergence for approximate Bayesian computation
-
Barber S., Voss J., Webster M. 2015. The rate of convergence for approximate Bayesian computation. Electron. J. Stat. 80-105.
-
(2015)
Electron. J. Stat.
, pp. 80-105
-
-
Barber, S.1
Voss, J.2
Webster, M.3
-
4
-
-
84929582277
-
Cophylogeny reconstruction via an approximate Bayesian computation
-
Baudet C., Donati B., Sinaimeri B., Crescenzi P., Gautier C., Matias C., Sagot, M.-F. 2015. Cophylogeny reconstruction via an approximate Bayesian computation. Syst. Biol. 64:416-431.
-
(2015)
Syst. Biol.
, vol.64
, pp. 416-431
-
-
Baudet, C.1
Donati, B.2
Sinaimeri, B.3
Crescenzi, P.4
Gautier, C.5
Matias, C.6
Sagot, M.-F.7
-
5
-
-
78149388939
-
Approximate Bayesian computation in evolution and ecology
-
Beaumont M.A. 2010. Approximate Bayesian computation in evolution and ecology. Annu. Rev. Ecol. Evol. Syst. 41:379-406.
-
(2010)
Annu. Rev. Ecol. Evol. Syst.
, vol.41
, pp. 379-406
-
-
Beaumont, M.A.1
-
7
-
-
0036964474
-
Approximate Bayesian computation in population genetics
-
Beaumont M.A., Zhang W., Balding, D.J. 2002. Approximate Bayesian computation in population genetics. Genetics 162:2025-2035.
-
(2002)
Genetics
, vol.162
, pp. 2025-2035
-
-
Beaumont, M.A.1
Zhang, W.2
Balding, D.J.3
-
8
-
-
84920937418
-
New insights into approximate Bayesian computation
-
Biau G., Cérou F., Guyader A. 2015. New insights into approximate Bayesian computation. Ann. I. H. Poincaré B 51:376-403.
-
(2015)
Ann. I. H. Poincaré B
, vol.51
, pp. 376-403
-
-
Biau, G.1
Cérou, F.2
Guyader, A.3
-
9
-
-
73549122582
-
Non-linear regression models for approximate Bayesian computation
-
Blum M., François O. 2010. Non-linear regression models for approximate Bayesian computation. Stat. Comput. 20:63-73.
-
(2010)
Stat. Comput.
, vol.20
, pp. 63-73
-
-
Blum, M.1
François, O.2
-
10
-
-
77956219298
-
Approximate Bayesian computation: A nonparametric perspective
-
Blum M.G.B. 2010. Approximate Bayesian computation: a nonparametric perspective. J. Ame. Stat. Assoc. 105:1178-1187.
-
(2010)
J. Ame. Stat. Assoc.
, vol.105
, pp. 1178-1187
-
-
Blum, M.G.B.1
-
11
-
-
84878991573
-
Acomparative review of dimension reduction methods in approximate Bayesian computation
-
Blum M.G.B., Nunes M.A., Prangle D., Sisson S.A. 2013. Acomparative review of dimension reduction methods in approximate Bayesian computation. Stat. Sci. 28:189-208.
-
(2013)
Stat. Sci.
, vol.28
, pp. 189-208
-
-
Blum, M.G.B.1
Nunes, M.A.2
Prangle, D.3
Sisson, S.A.4
-
13
-
-
14044258418
-
Modern humans did not admix with neanderthals during their range expansion into Europe
-
Currat M., Excoffier L. 2004. Modern humans did not admix with neanderthals during their range expansion into europe. PLoS Biol. 2:e421.
-
(2004)
PLoS Biol.
, vol.2
, pp. e421
-
-
Currat, M.1
Excoffier, L.2
-
14
-
-
0001197731
-
Monte Carlo methods of inference for implicit statistical models
-
Diggle P.J., Gratton R.J. 1984. Monte Carlo methods of inference for implicit statistical models. J. Roy. Stat. Soc. B 46:193-227.
-
(1984)
J. Roy. Stat. Soc. B
, vol.46
, pp. 193-227
-
-
Diggle, P.J.1
Gratton, R.J.2
-
15
-
-
84887312794
-
Robust demographic inference from genomic and SNP data
-
Excoffier L., Dupanloup I., Huerta-Snchez E., Sousa V.C., Foll M. 2013. Robust demographic inference from genomic and SNP data. PLoS Genet. 9:e1003905.
-
(2013)
PLoS Genet.
, vol.9
, pp. e1003905
-
-
Excoffier, L.1
Dupanloup, I.2
Huerta-Snchez, E.3
Sousa, V.C.4
Foll, M.5
-
16
-
-
36749047447
-
Statistical evaluation of alternative models of human evolution
-
Fagundes N.J.R., Ray N., Beaumont M., Neuenschwander S., Salzano F.M., Bonatto S.L., Excoffier L. 2007. Statistical evaluation of alternative models of human evolution. Proc. Natl Acad. Sci. 104:17614-17619.
-
(2007)
Proc. Natl Acad. Sci.
, vol.104
, pp. 17614-17619
-
-
Fagundes, N.J.R.1
Ray, N.2
Beaumont, M.3
Neuenschwander, S.4
Salzano, F.M.5
Bonatto, S.L.6
Excoffier, L.7
-
17
-
-
84875806228
-
A new approach to choose acceptance cutoff for approximate Bayesian computation
-
Faisal M., Futschik A., Hussain I. 2013. A new approach to choose acceptance cutoff for approximate Bayesian computation. J. Appl. Stat. 40:862-869.
-
(2013)
J. Appl. Stat.
, vol.40
, pp. 862-869
-
-
Faisal, M.1
Futschik, A.2
Hussain, I.3
-
18
-
-
79955092139
-
Estimating species trees using approximate Bayesian computation
-
Fan H.H., Kubatko L.S. 2011. Estimating species trees using approximate Bayesian computation. Mol. Phylogenet. Evol. 59: 354-363.
-
(2011)
Mol. Phylogenet. Evol.
, vol.59
, pp. 354-363
-
-
Fan, H.H.1
Kubatko, L.S.2
-
19
-
-
84861111043
-
Constructing summary statistics for approximate Bayesian computation: Semi-automatic approximate Bayesian computation
-
Fearnhead P., Prangle D. 2012. Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. J. Roy. Stat. Soc. B 74:419-474.
-
(2012)
J. Roy. Stat. Soc. B
, vol.74
, pp. 419-474
-
-
Fearnhead, P.1
Prangle, D.2
-
21
-
-
84932196297
-
Bayesian computation: A summary of the current state, and samples backwards and forwards
-
Green P., Latuszynski K., Pereyra M., Robert C.P. 2015. Bayesian computation: a summary of the current state, and samples backwards and forwards. Stat. Comput. 25:835-862.
-
(2015)
Stat. Comput.
, vol.25
, pp. 835-862
-
-
Green, P.1
Latuszynski, K.2
Pereyra, M.3
Robert, C.P.4
-
22
-
-
84989211355
-
Bayesian optimization for likelihoodfree inference of simulator-based statistical models
-
Gutmann M.U., Corander J. 2016. Bayesian optimization for likelihoodfree inference of simulator-based statistical models. J. Mach. Learn. Res. 17(125):1-47.
-
(2016)
J. Mach. Learn. Res.
, vol.17
, Issue.125
, pp. 1-47
-
-
Gutmann, M.U.1
Corander, J.2
-
24
-
-
2442478330
-
Estimating functions in indirect inference
-
Heggland K., Frigessi A. 2004. Estimating functions in indirect inference. J. Roy. Stat. Soc. B 66:447-462.
-
(2004)
J. Roy. Stat. Soc. B
, vol.66
, pp. 447-462
-
-
Heggland, K.1
Frigessi, A.2
-
25
-
-
33846875227
-
Test for simultaneous divergence using approximate Bayesian computation
-
Hickerson M.J., Stahl E.A., Lessios H.A. 2006. Test for simultaneous divergence using approximate Bayesian computation. Evolution 60:2435-2453. doi:10.1111/j.0014-3820.2006.tb01880.x
-
(2006)
Evolution
, vol.60
, pp. 2435-2453
-
-
Hickerson, M.J.1
Stahl, E.A.2
Lessios, H.A.3
-
26
-
-
70149112524
-
The origins of lactase persistence in Europe
-
Itan Y., Powell A., Beaumont M.A., Burger J., Thomas M.G. (2009). The origins of lactase persistence in Europe. PLoS Comput. Biol. 5:e1000491.
-
(2009)
PLoS Comput. Biol.
, vol.5
, pp. e1000491
-
-
Itan, Y.1
Powell, A.2
Beaumont, M.A.3
Burger, J.4
Thomas, M.G.5
-
27
-
-
0035577808
-
A taxonomy of global optimization methods based on response surfaces
-
Jones D. 2001. A taxonomy of global optimization methods based on response surfaces. J. Glob. Optim. 21:345-383.
-
(2001)
J. Glob. Optim.
, vol.21
, pp. 345-383
-
-
Jones, D.1
-
28
-
-
51449104123
-
Approximately sufficient statistics and Bayesian computation
-
Joyce P., Marjoram P. 2008. Approximately sufficient statistics and Bayesian computation. Stat. Appl. Genet. Mol. Biol. 26.
-
(2008)
Stat. Appl. Genet. Mol. Biol.
, pp. 26
-
-
Joyce, P.1
Marjoram, P.2
-
30
-
-
74249110200
-
Bayesian computation and model selection without likelihoods
-
Leuenberger C., Wegmann D. 2010. Bayesian computation and model selection without likelihoods. Genetics 184:243-252.
-
(2010)
Genetics
, vol.184
, pp. 243-252
-
-
Leuenberger, C.1
Wegmann, D.2
-
31
-
-
84979917744
-
On the identifiability of transmission dynamic models for infectious diseases
-
Lintusaari J., Gutmann M.U., Kaski S., Corander J. 2016. On the identifiability of transmission dynamic models for infectious diseases. Genetics 202(3):911-918.
-
(2016)
Genetics
, vol.202
, Issue.3
, pp. 911-918
-
-
Lintusaari, J.1
Gutmann, M.U.2
Kaski, S.3
Corander, J.4
-
36
-
-
0000883977
-
A method of simulated moments for estimation of discrete response models without numerical integration
-
McFadden D. 1989. A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57:995-1026.
-
(1989)
Econometrica
, vol.57
, pp. 995-1026
-
-
McFadden, D.1
-
38
-
-
77957728670
-
On optimal selection of summary statistics for approximate Bayesian computation
-
Nunes M.A., Balding D.J. 2010. On optimal selection of summary statistics for approximate Bayesian computation. Stat. Appl. Genet. Mol. Bio. 9.
-
(2010)
Stat. Appl. Genet. Mol. Bio.
, pp. 9
-
-
Nunes, M.A.1
Balding, D.J.2
-
40
-
-
0001331135
-
Simulation and the asymptotics of optimization estimators
-
To appear
-
R Journal. To appear. Pakes A., Pollard D. 1989. Simulation and the asymptotics of optimization estimators. Econometrica 57:1027-1057.
-
(1989)
Econometrica
, vol.57
, pp. 1027-1057
-
-
Journal, R.1
Pakes, A.2
Pollard, D.3
-
41
-
-
84908082009
-
Diagnostic tools for approximate Bayesian computation using the coverage property
-
Prangle D., Blum M.G.B., Popovic G., Sisson S.A. 2014. Diagnostic tools for approximate Bayesian computation using the coverage property. Aust. NZ J. Stat. 56:309-329.
-
(2014)
Aust. NZ J. Stat.
, vol.56
, pp. 309-329
-
-
Prangle, D.1
Blum, M.G.B.2
Popovic, G.3
Sisson, S.A.4
-
43
-
-
67649819681
-
Model criticism based on likelihood-free inference, with an application to protein network evolution
-
Ratmann O., Andrieu C., Wiuf C., Richardson S. 2009. Model criticism based on likelihood-free inference, with an application to protein network evolution. Proc. Natl Acad. Sci. 106:10576-10581.
-
(2009)
Proc. Natl Acad. Sci.
, vol.106
, pp. 10576-10581
-
-
Ratmann, O.1
Andrieu, C.2
Wiuf, C.3
Richardson, S.4
-
44
-
-
84872013113
-
Phylodynamic inference and model assessment with approximate Bayesiancomputation: Influenza as a case study
-
Ratmann O., Donker G., Meijer A., Fraser C., Koelle K. 2012. Phylodynamic inference and model assessment with approximate Bayesiancomputation: influenza as a case study. PLoSComput. Biol. 8:e1002835.
-
(2012)
PLoSComput. Biol.
, vol.8
, pp. e1002835
-
-
Ratmann, O.1
Donker, G.2
Meijer, A.3
Fraser, C.4
Koelle, K.5
-
46
-
-
0000439370
-
Bayesianly justifiable and relevant frequency calculations for the applied statistician
-
Rubin D.B. 1984. Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann. Stat. 12:1151-1172.
-
(1984)
Ann. Stat.
, vol.12
, pp. 1151-1172
-
-
Rubin, D.B.1
-
47
-
-
84888166132
-
Optimizing threshold-schedules for sequential approximate Bayesian computation: Applications to molecular systems
-
Silk D., Filippi S., Stumpf M.P. 2013. Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems. Stat. Appl. Genet. Mol. Biol. 12:603-618.
-
(2013)
Stat. Appl. Genet. Mol. Biol.
, vol.12
, pp. 603-618
-
-
Silk, D.1
Filippi, S.2
Stumpf, M.P.3
-
49
-
-
84857692151
-
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate Bayesian computation
-
Slater G.J., Harmon L.J., Wegmann D., Joyce P., Revell L.J., Alfaro M.E. 2012. Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate Bayesian computation. Evolution 66:752-762.
-
(2012)
Evolution
, vol.66
, pp. 752-762
-
-
Slater, G.J.1
Harmon, L.J.2
Wegmann, D.3
Joyce, P.4
Revell, L.J.5
Alfaro, M.E.6
-
50
-
-
79960144184
-
Inferring epidemiological parameters on the basis of allele frequencies
-
Stadler T. 2011. Inferring epidemiological parameters on the basis of allele frequencies. Genetics 188:663-672.
-
(2011)
Genetics
, vol.188
, pp. 663-672
-
-
Stadler, T.1
-
51
-
-
33746419713
-
Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype data
-
Tanaka M.M., Francis A.R., Luciani F., Sisson S.A. 2006. Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype data. Genetics 173: 1511-1520.
-
(2006)
Genetics
, vol.173
, pp. 1511-1520
-
-
Tanaka, M.M.1
Francis, A.R.2
Luciani, F.3
Sisson, S.A.4
-
52
-
-
58149142997
-
ApproximateBayesiancomputation schemefor parameter inference and model selection in dynamical systems
-
Toni T., Welch D., Strelkowa N., Ipsen A., Stumpf M.P. 2009. ApproximateBayesiancomputation schemefor parameter inference and model selection in dynamical systems. J. Roy. Soc. Interf. 6:187-202.
-
(2009)
J. Roy. Soc. Interf.
, vol.6
, pp. 187-202
-
-
Toni, T.1
Welch, D.2
Strelkowa, N.3
Ipsen, A.4
Stumpf, M.P.5
-
53
-
-
70350136774
-
Efficient approximate Bayesian computation coupled with Markov chain Monte Carlo without likelihood
-
Wegmann D., Leuenberger C., Excoffier L. 2009. Efficient approximate Bayesian computation coupled with Markov chain Monte Carlo without likelihood. Genetics 182:129-141.
-
(2009)
Genetics
, vol.182
, pp. 129-141
-
-
Wegmann, D.1
Leuenberger, C.2
Excoffier, L.3
-
55
-
-
77956231279
-
Statistical inference for noisy nonlinear ecological dynamic systems
-
Wood S. 2010. Statistical inference for noisy nonlinear ecological dynamic systems. Nature 466:1102-1104.
-
(2010)
Nature
, vol.466
, pp. 1102-1104
-
-
Wood, S.1
|