Tài liệu tham khảo |
Loại |
Chi tiết |
[2] Dempster A.P., Laird N.M., and Rubin D.B. (1977). Maximum likelihood from incomplete data via the em algorithm . Journal of the Royal Statistical Society. Series B (Methodological), 39(1):pp. 1–38 |
Sách, tạp chí |
Tiêu đề: |
Maximum likelihood from incomplete data via the em algorithm |
Tác giả: |
Dempster A.P., Laird N.M., Rubin D.B |
Nhà XB: |
Journal of the Royal Statistical Society. Series B (Methodological) |
Năm: |
1977 |
|
[3] Seo S., Oh S.D., and Kwak H.Y. (2019). Wind turbine power curve mod- eling using maximum likelihood estimation method . Renewable energy, 136:pp. 1164–1169 |
Sách, tạp chí |
Tiêu đề: |
Wind turbine power curve modeling using maximum likelihood estimation method |
Tác giả: |
Seo S., Oh S.D., Kwak H.Y |
Nhà XB: |
Renewable energy |
Năm: |
2019 |
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[4] Lauritzen S., Uhler C., Zwiernik P., et al. (2019). Maximum likelihood esti- mation in gaussian models under total positivity . The Annals of Statistics, 47(4):pp. 1835–1863 |
Sách, tạp chí |
Tiêu đề: |
Maximum likelihood estimation in gaussian models under total positivity |
Tác giả: |
Lauritzen S., Uhler C., Zwiernik P., et al |
Nhà XB: |
The Annals of Statistics |
Năm: |
2019 |
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[5] Matilainen K., M¨ antysaari E.A., and Strandén I. (2019). Efficient monte carlo algorithm for restricted maximum likelihood estimation of genetic parameters . Journal of Animal Breeding and Genetics, 136(4):pp. 252–261 |
Sách, tạp chí |
Tiêu đề: |
Efficient monte carlo algorithm for restricted maximum likelihood estimation of genetic parameters |
Tác giả: |
Matilainen K., Mäntysaari E.A., Strandén I |
Nhà XB: |
Journal of Animal Breeding and Genetics |
Năm: |
2019 |
|
[6] Risk B.B., Matteson D.S., and Ruppert D. (2019). Linear non-gaussian component analysis via maximum likelihood . Journal of the American Sta- tistical Association , 114(525):pp. 332–343 |
Sách, tạp chí |
Tiêu đề: |
Linear non-gaussian component analysis via maximum likelihood |
Tác giả: |
Risk B.B., Matteson D.S., Ruppert D |
Nhà XB: |
Journal of the American Statistical Association |
Năm: |
2019 |
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[7] Hoffman L.D. and Bradley G.L. (2010). Calculus for business, economics, and the social and life sciences . McGraw-Hill |
Sách, tạp chí |
Tiêu đề: |
Calculus for business, economics, and the social and life sciences |
Tác giả: |
Hoffman L.D., Bradley G.L |
Nhà XB: |
McGraw-Hill |
Năm: |
2010 |
|
[8] Boyd S. and Vandenberghe L. (2004). Convex optimization . Cambridge University Press |
Sách, tạp chí |
Tiêu đề: |
Convex optimization |
Tác giả: |
Boyd S., Vandenberghe L |
Nhà XB: |
Cambridge University Press |
Năm: |
2004 |
|
[9] Bottou L. (1998). Online learning and stochastic approximations. Online learning in Neural Networks , 17(9):p. 142 |
Sách, tạp chí |
Tiêu đề: |
Online learning in Neural Networks |
Tác giả: |
Bottou L |
Năm: |
1998 |
|
[10] Gauvain J.L. and Lee C.H. (1994). Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains . IEEE trans- actions on speech and audio processing, 2(2):pp. 291–298 |
Sách, tạp chí |
Tiêu đề: |
Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains |
Tác giả: |
Gauvain J.L., Lee C.H |
Nhà XB: |
IEEE Transactions on Speech and Audio Processing |
Năm: |
1994 |
|
[11] Wu M.C.K., Deniz F., Prenger R.J., and Gallant J.L. (2018). The unified maximum a posteriori (map) framework for neuronal system identification.arXiv preprint arXiv:1811.01043 |
Sách, tạp chí |
Tiêu đề: |
The unified maximum a posteriori (map) framework for neuronal system identification |
Tác giả: |
Wu M.C.K., Deniz F., Prenger R.J., Gallant J.L |
Nhà XB: |
arXiv |
Năm: |
2018 |
|
[13] Zhang J., Schwing A., and Urtasun R. (2014). Message passing inference for large scale graphical models with high order potentials . In Advances in Neural Information Processing Systems , pp. 1134–1142 |
Sách, tạp chí |
Tiêu đề: |
Advances in Neural Information Processing Systems |
Tác giả: |
Zhang J., Schwing A., Urtasun R |
Năm: |
2014 |
|
[14] Darwiche A. (2003). A differential approach to inference in bayesian net- works . Journal of the ACM (JACM), 50(3):pp. 280–305 |
Sách, tạp chí |
Tiêu đề: |
A differential approach to inference in bayesian networks |
Tác giả: |
Darwiche A |
Nhà XB: |
Journal of the ACM (JACM) |
Năm: |
2003 |
|
[15] Tosh C. and Dasgupta S. (2019). The relative complexity of maximum like- lihood estimation, map estimation, and sampling . Proceedings of Machine Learning Research vol , 99:pp. 1–43 |
Sách, tạp chí |
Tiêu đề: |
The relative complexity of maximum likelihood estimation, map estimation, and sampling |
Tác giả: |
Tosh C., Dasgupta S |
Nhà XB: |
Proceedings of Machine Learning Research |
Năm: |
2019 |
|
[17] Peyrard N., Cros M.J., de Givry S., Franc A., Robin S., Sabbadin R., Schiex T., and Vignes M. (2019). Exact or approximate inference in graphical models: why the choice is dictated by the treewidth, and how variable elim- ination can be exploited . Australian & New Zealand Journal of Statistics, 61(2):pp. 89–133 |
Sách, tạp chí |
Tiêu đề: |
Exact or approximate inference in graphical models: why the choice is dictated by the treewidth, and how variable elimination can be exploited |
Tác giả: |
Peyrard N., Cros M.J., de Givry S., Franc A., Robin S., Sabbadin R., Schiex T., Vignes M |
Nhà XB: |
Australian & New Zealand Journal of Statistics |
Năm: |
2019 |
|
[19] Rossi R.J. (2018). Mathematical Statistics: An Introduction to Likelihood Based Inference. John Wiley & Sons |
Sách, tạp chí |
Tiêu đề: |
Mathematical Statistics: An Introduction to Likelihood Based Inference |
Tác giả: |
R.J. Rossi |
Nhà XB: |
John Wiley & Sons |
Năm: |
2018 |
|
[20] Joshi S. and Miller M.I. (1993). Maximum a posteriori estimation with good’s roughness for three-dimensional optical-sectioning microscopy.JOSA A, 10(5):pp. 1078–1085 |
Sách, tạp chí |
Tiêu đề: |
Maximum a posteriori estimation with good’s roughness for three-dimensional optical-sectioning microscopy |
Tác giả: |
Joshi S., Miller M.I |
Nhà XB: |
JOSA A |
Năm: |
1993 |
|
[21] Bassett R. and Deride J. (2019). Maximum a posteriori estimators as a limit of bayes estimators. Mathematical Programming , 174(1-2):pp. 129–144 |
Sách, tạp chí |
Tiêu đề: |
Maximum a posteriori estimators as a limit of bayes estimators |
Tác giả: |
Bassett R., Deride J |
Nhà XB: |
Mathematical Programming |
Năm: |
2019 |
|
[22] Hazan T., Orabona F., Sarwate A.D., Maji S., and Jaakkola T.S. (2019).High dimensional inference with random maximum a-posteriori perturba- tions . IEEE Transactions on Information Theory |
Sách, tạp chí |
Tiêu đề: |
High dimensional inference with random maximum a-posteriori perturbations |
Tác giả: |
Hazan T., Orabona F., Sarwate A.D., Maji S., Jaakkola T.S |
Nhà XB: |
IEEE Transactions on Information Theory |
Năm: |
2019 |
|
[23] Bereyhi A., M¨ uller R.R., and Schulz-Baldes H. (2019). Statistical me- chanics of map estimation: General replica ansatz . IEEE Transactions on Information Theory |
Sách, tạp chí |
Tiêu đề: |
Statistical mechanics of map estimation: General replica ansatz |
Tác giả: |
Bereyhi A., Müller R.R., Schulz-Baldes H |
Nhà XB: |
IEEE Transactions on Information Theory |
Năm: |
2019 |
|
[24] Siddhu V. (2019). Maximum a posteriori probability estimates for quantum tomography . Physical Review A, 99(1):p. 012342 |
Sách, tạp chí |
Tiêu đề: |
Maximum a posteriori probability estimates for quantum tomography |
Tác giả: |
Siddhu V |
Nhà XB: |
Physical Review A |
Năm: |
2019 |
|