-
1
-
-
84860899405
-
Bayesian design strategies for synthetic biology
-
Barnes, C. P., D. Silk, and M. P. H. Stumpf. 2011. Bayesian design strategies for synthetic biology. Interface Focus 1:895- 908.
-
(2011)
Interface Focus
, vol.1
, pp. 895-908
-
-
Barnes, C.P.1
Silk, D.2
Stumpf, M.P.H.3
-
2
-
-
77955508453
-
Likelihood-free inference of population structure and local adaptation in a Bayesian hierarchical model
-
Bazin, E., K. J. Dawson, and M. A. Beaumont. 2010. Likelihood-free inference of population structure and local adaptation in a Bayesian hierarchical model. Genetics 185: 587-602.
-
(2010)
Genetics
, vol.185
, pp. 587-602
-
-
Bazin, E.1
Dawson, K.J.2
Beaumont, M.A.3
-
3
-
-
78149388939
-
-
D. J. Futuyma, H. B. Shafer, and D. Simberloff, editors. Annual review of ecology, evolution, and systematics. 41. Annual Reviews, Palo Alto, California, USA
-
Beaumont, M. A. 2010. Approximate Bayesian computation in evolution and ecology. Pages 379-406 in D. J. Futuyma, H. B. Shafer, and D. Simberloff, editors. Annual review of ecology, evolution, and systematics. Volume 41. Annual Reviews, Palo Alto, California, USA.
-
(2010)
Approximate Bayesian Computation in Evolution and Ecology
, pp. 379-406
-
-
Beaumont, M.A.1
-
4
-
-
71249121103
-
Adaptive approximate Bayesian computation
-
Beaumont, M. A., J. Cornuet, J. Marin, and C. P. Robert. 2009. Adaptive approximate Bayesian computation. Biometrika 96:983-990.
-
(2009)
Biometrika
, vol.96
, pp. 983-990
-
-
Beaumont, M.A.1
Cornuet, J.2
Marin, J.3
Robert, C.P.4
-
5
-
-
0036964474
-
Approximate Bayesian computation in population genetics
-
Beaumont, M. A., W. Zhang, and D. J. Balding. 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
-
6
-
-
33646879591
-
Population dynamics in a noisy world: Lessons from a mite experimental system
-
Academic Press, Waltham, Massachusetts, USA
-
Benton, T. G., A. P. Beckerman, and R. A. Desharnais. 2005. Population dynamics in a noisy world: lessons from a mite experimental system. Pages 143-181 in Population dynamics and laboratory ecology. Volume 37. Academic Press, Waltham, Massachusetts, USA.
-
(2005)
Population Dynamics and Laboratory Ecology
, vol.37
, pp. 143-181
-
-
Benton, T.G.1
Beckerman, A.P.2
Desharnais, R.A.3
-
7
-
-
63849218102
-
Stage-structured matrix models for organisms with nongeometric development times
-
Birt, A., R. M. Feldman, D. M. Cairns, R. N. Coulson, M. Tchakerian, W. Xi, and J. M. Guldin. 2009. Stage-structured matrix models for organisms with nongeometric development times. Ecology 90:57-68.
-
(2009)
Ecology
, vol.90
, pp. 57-68
-
-
Birt, A.1
Feldman, R.M.2
Cairns, D.M.3
Coulson, R.N.4
Tchakerian, M.5
Xi, W.6
Guldin, J.M.7
-
8
-
-
73549122582
-
Nonlinear regression models for approximate Bayesian computation
-
Blum, M. G. B., and O. Franç ois. 2008. Nonlinear regression models for approximate Bayesian computation. Statistics and Computing 20:63-73.
-
(2008)
Statistics and Computing
, vol.20
, pp. 63-73
-
-
Blum, M.G.B.1
François, O.2
-
9
-
-
44649107771
-
An overview of existing methods and recent advances in sequential Monte Carlo
-
Cappé, O., S. Godsill, and E. Moulines. 2007. An overview of existing methods and recent advances in sequential Monte Carlo. Proceedings of the IEEE 95:899-924.
-
(2007)
Proceedings of the IEEE
, vol.95
, pp. 899-924
-
-
Cappé, O.1
Godsill, S.2
Moulines, E.3
-
10
-
-
4043138379
-
Population Monte Carlo
-
Cappé, O., A. Guillin, J. M. Marin, and C. P. Robert. 2004. Population Monte Carlo. Journal of Computational and Graphical Statistics 13:907-929.
-
(2004)
Journal of Computational and Graphical Statistics
, vol.13
, pp. 907-929
-
-
Cappé, O.1
Guillin, A.2
Marin, J.M.3
Robert, C.P.4
-
11
-
-
56649113038
-
Inferring population history with DIY ABC: A user-friendly approach to approximate Bayesian computation
-
DOI 10.1093/bioinformatics/btn514
-
Cornuet, J.-M., F. Santos, M. A. Beaumont, C. P. Robert, J.-M. Marin, D. J. Balding, T. Guillemaud, and A. Estoup. 2008. Inferring population history with DIY ABC: a userfriendly approach to approximate Bayesian computation. Bioinformatics 24:2713-2719. (Pubitemid 352722613)
-
(2008)
Bioinformatics
, vol.24
, Issue.23
, pp. 2713-2719
-
-
Cornuet, J.-M.1
Santos, F.2
Beaumont, M.A.3
Robert, C.P.4
Marin, J.-M.5
Balding, D.J.6
Guillemaud, T.7
Estoup, A.8
-
12
-
-
77954816556
-
Approximate Bayesian computation (ABC) in practice
-
Csilléry, K., M. G. B. Blum, O. E. Gaggiotti, and O. Franç ois. 2010. Approximate Bayesian computation (ABC) in practice. Trends in Ecology and Evolution 25:410-418.
-
(2010)
Trends in Ecology Evolution
, vol.25
, pp. 410-418
-
-
Csilléry, K.1
Blum, M.G.B.2
Gaggiotti, O.E.3
François, O.4
-
14
-
-
70349939369
-
Stochastic development in biologically structured population models
-
de Valpine, P. 2009. Stochastic development in biologically structured population models. Ecology 90:2889-2901.
-
(2009)
Ecology
, vol.90
, pp. 2889-2901
-
-
De Valpine, P.1
-
15
-
-
79952603857
-
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation
-
Drovandi, C. C., and A. N. Pettitt. 2011. Estimation of parameters for macroparasite population evolution using approximate Bayesian computation. Biometrics 67:225-233.
-
(2011)
Biometrics
, vol.67
, pp. 225-233
-
-
Drovandi, C.C.1
Pettitt, A.N.2
-
18
-
-
75249099118
-
ABC likelihood-free methods for model choice in Gibbs random fields
-
Grelaud, A., C. P. Robert, J. Marin, F. Rodolphe, and J. Taly. 2009. ABC likelihood-free methods for model choice in Gibbs random fields. Bayesian Analysis 4:317-335.
-
(2009)
Bayesian Analysis
, vol.4
, pp. 317-335
-
-
Grelaud, A.1
Robert, C.P.2
Marin, J.3
Rodolphe, F.4
Taly, J.5
-
19
-
-
20444406878
-
Bayesian estimation of recent migration rates after a spatial expansion
-
DOI 10.1534/genetics.104.034199
-
Hamilton, G., M. Currat, N. Ray, G. Heckel, M. Beaumont, and L. Excoffier. 2005. Bayesian estimation of recent migration rates after a spatial expansion. Genetics 170:409- 417. (Pubitemid 40800002)
-
(2005)
Genetics
, vol.170
, Issue.1
, pp. 409-417
-
-
Hamilton, G.1
Currat, M.2
Ray, N.3
Heckel, G.4
Beaumont, M.5
Excoffier, L.6
-
20
-
-
79960410421
-
Statistical inference for stochastic simulation models-theory and application
-
Hartig, F., J. M. Calabrese, B. Reineking, T. Wiegand, and A. Huth. 2011. Statistical inference for stochastic simulation models - theory and application. Ecology Letters 14:816- 827.
-
(2011)
Ecology Letters
, vol.14
, pp. 816-827
-
-
Hartig, F.1
Calabrese, J.M.2
Reineking, B.3
Wiegand, T.4
Huth, A.5
-
21
-
-
0003684449
-
-
Springer, New York, New York, USA
-
Hastie, T. J., R. J. Tibshirani, and J. J. H. Friedman. 2009. The elements of statistical learning: data mining, inference, and prediction. Springer, New York, New York, USA.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.J.1
Tibshirani, R.J.2
Friedman, J.J.H.3
-
23
-
-
60649110912
-
Inferring the parameters of the neutral theory of biodiversity using phylogenetic information and implications for tropical forests
-
Jabot, F., and J. Chave. 2009. Inferring the parameters of the neutral theory of biodiversity using phylogenetic information and implications for tropical forests. Ecology Letters 12:239- 248.
-
(2009)
Ecology Letters
, vol.12
, pp. 239-248
-
-
Jabot, F.1
Chave, J.2
-
24
-
-
84879738527
-
EasyABC: Performing efficient approximate Bayesian computation sampling schemes using R
-
Jabot, F., T. Faure, and N. Dumoulin. 2013. EasyABC: performing efficient approximate Bayesian computation sampling schemes using R. Methods in Ecology and Evolution 4:684-687.
-
(2013)
Methods in Ecology and Evolution
, vol.4
, pp. 684-687
-
-
Jabot, F.1
Faure, T.2
Dumoulin, N.3
-
25
-
-
84862794744
-
Estimating demographic parameters from large-scale population genomic data using approximate Bayesian computation
-
Li, S., and M. Jakobsson. 2012. Estimating demographic parameters from large-scale population genomic data using approximate Bayesian computation. BMC Genetics 13:22.
-
(2012)
BMC Genetics
, vol.13
, pp. 22
-
-
Li, S.1
Jakobsson, M.2
-
26
-
-
77954487004
-
ABC-SysBio-approximate Bayesian computation in Python with GPU support
-
Liepe, J., C. Barnes, E. Cule, K. Erguler, P. Kirk, T. Toni, and M. P. H. Stumpf. 2010. ABC-SysBio - approximate Bayesian computation in Python with GPU support. Bioinformatics 26:1797-1799.
-
(2010)
Bioinformatics
, vol.26
, pp. 1797-1799
-
-
Liepe, J.1
Barnes, C.2
Cule, E.3
Erguler, K.4
Kirk, P.5
Toni, T.6
Stumpf, M.P.H.7
-
27
-
-
77952098598
-
The use of approximate Bayesian computation in conservation genetics and its application in a case study on yellow-eyed penguins
-
Lopes, J. S., and S. Boessenkool. 2010. The use of approximate Bayesian computation in conservation genetics and its application in a case study on yellow-eyed penguins. Conservation Genetics 11:421-433.
-
(2010)
Conservation Genetics
, vol.11
, pp. 421-433
-
-
Lopes, J.S.1
Boessenkool, S.2
-
28
-
-
0003471191
-
-
Chapman and Hall, New York, New York, USA
-
Manly, B. F. J. 1990. Stage-structured populations: sampling, analysis, and simulation. Chapman and Hall, New York, New York, USA.
-
(1990)
Stage-structured Populations: Sampling, Analysis, and Simulation
-
-
Manly, B.F.J.1
-
29
-
-
0346734143
-
Markov chain Monte Carlo without likelihoods
-
DOI 10.1073/pnas.0306899100
-
Marjoram, P., J. Molitor, V. Plagnol, and S. Tavare. 2003. Markov chain Monte Carlo without likelihoods. Proceedings of the National Academy of Sciences USA 100:15324-15328. (Pubitemid 38020988)
-
(2003)
Proceedings of the National Academy of Sciences of the United States of America
, vol.100
, Issue.26
, pp. 15324-15328
-
-
Marjoram, P.1
Molitor, J.2
Plagnol, V.3
Tavare, S.4
-
30
-
-
33751307421
-
Estimating recombination rates from single-nucleotide polymorphisms using summary statistics
-
DOI 10.1534/genetics.106.060723
-
Padhukasahasram, B., J. D. Wall, P. Marjoram, and M. Nordborg. 2006. Estimating recombination rates from singlenucleotide polymorphisms using summary statistics. Genetics 174:1517-1528. (Pubitemid 44808319)
-
(2006)
Genetics
, vol.174
, Issue.3
, pp. 1517-1528
-
-
Padhukasahasram, B.1
Wall, J.D.2
Marjoram, P.3
Nordborg, M.4
-
31
-
-
0032735986
-
Population growth of human y chromosomes: A study of y chromosome microsatellites
-
Pritchard, J. K., M. T. Seielstad, A. Perez-Lezaun, and M. W. Feldman. 1999. Population growth of human Y chromosomes: a study of Y chromosome microsatellites. Molecular Biology and Evolution 16:1791-1798.
-
(1999)
Molecular Biology and Evolution
, vol.16
, pp. 1791-1798
-
-
Pritchard, J.K.1
Seielstad, M.T.2
Perez-Lezaun, A.3
Feldman, M.W.4
-
32
-
-
84863304598
-
-
R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria.
-
R Development Core Team. 2010. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.r-project.org
-
(2010)
R: A Language and Environment for Statistical Computing
-
-
-
33
-
-
72849152456
-
Heritability of extinction rates links diversification patterns in molecular phylogenies and fossils
-
Rabosky, D. L. 2009. Heritability of extinction rates links diversification patterns in molecular phylogenies and fossils. Systematic Biology 58:629-640.
-
(2009)
Systematic Biology
, vol.58
, pp. 629-640
-
-
Rabosky, D.L.1
-
34
-
-
84855501156
-
An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata
-
Rasmussen, R., and G. Hamilton. 2012. An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata. Environmental Modelling and Software 29:1-10.
-
(2012)
Environmental Modelling and Software
, vol.29
, pp. 1-10
-
-
Rasmussen, R.1
Hamilton, G.2
-
35
-
-
67649819681
-
Model criticism based on likelihood-free inference, with an application to protein network evolution
-
Ratmann, O., C. Andrieu, C. Wiuf, and S. Richardson. 2009. Model criticism based on likelihood-free inference, with an application to protein network evolution. Proceedings of the National Academy of Sciences USA 106:10576-10581.
-
(2009)
Proceedings of the National Academy of Sciences USA
, vol.106
, pp. 10576-10581
-
-
Ratmann, O.1
Andrieu, C.2
Wiuf, C.3
Richardson, S.4
-
36
-
-
0014257479
-
A system of models for life cycle of a biological organism
-
Read, K., and J. R. Ashford. 1968. A system of models for life cycle of a biological organism. Biometrika 55:211-221.
-
(1968)
Biometrika
, vol.55
, pp. 211-221
-
-
Read, K.1
Ashford, J.R.2
-
37
-
-
80053069153
-
Lack of confidence in approximate Bayesian computation model choice
-
Robert, C. P., J.-M. Cornuet, J.-M. Marin, and N. S. Pillai. 2011. Lack of confidence in approximate Bayesian computation model choice. Proceedings of the National Academy of Sciences USA 108:15112-15117.
-
(2011)
Proceedings of the National Academy of Sciences USA
, vol.108
, pp. 15112-15117
-
-
Robert, C.P.1
Cornuet, J.-M.2
Marin, J.-M.3
Pillai, N.S.4
-
38
-
-
33748541658
-
Evolution of intrahost HIV-1 genetic diversity during chronic infection
-
Shriner, D., Y. Liu, D. C. Nickle, and J. I. Mullins. 2006. Evolution of intrahost HIV-1 genetic diversity during chronic infection. Evolution 60:1165-1176.
-
(2006)
Evolution
, vol.60
, pp. 1165-1176
-
-
Shriner, D.1
Liu, Y.2
Nickle, D.C.3
Mullins, J.I.4
-
39
-
-
27544491192
-
ROCR: Visualizing classifier performance in R
-
DOI 10.1093/bioinformatics/bti623
-
Sing, T., O. Sander, N. Beerenwinkel, and T. Lengauer. 2005. ROCR: visualizing classifier performance in R. Bioinformatics 21:3940-3941. (Pubitemid 41535515)
-
(2005)
Bioinformatics
, vol.21
, Issue.20
, pp. 3940-3941
-
-
Sing, T.1
Sander, O.2
Beerenwinkel, N.3
Lengauer, T.4
-
40
-
-
0031014291
-
Inferring coalescence times from DNA sequence data
-
Tavare, S., D. J. Balding, R. C. Griffiths, and P. Donnelly. 1997. Inferring coalescence times from DNA sequence data. Genetics 145:505-518. (Pubitemid 27068401)
-
(1997)
Genetics
, vol.145
, Issue.2
, pp. 505-518
-
-
Tavare, S.1
Balding, D.J.2
Griffiths, R.C.3
Donnelly, P.4
-
41
-
-
58149142997
-
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
-
Toni, T., D. Welch, N. Strelkowa, A. Ipsen, and M. P. H. Stumpf. 2009. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. Journal of the Royal Society Interface 6:187-202.
-
(2009)
Journal of the Royal Society Interface
, vol.6
, pp. 187-202
-
-
Toni, T.1
Welch, D.2
Strelkowa, N.3
Ipsen, A.4
Stumpf, M.P.H.5
-
43
-
-
77951177432
-
ABCtoolbox: A versatile toolkit for approximate Bayesian computations
-
Wegmann, D., C. Leuenberger, S. Neuenschwander, and L. Excoffier. 2010. ABCtoolbox: a versatile toolkit for approximate Bayesian computations. BMC Bioinformatics 11:116.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 116
-
-
Wegmann, D.1
Leuenberger, C.2
Neuenschwander, S.3
Excoffier, L.4
|