Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Prerau, Michael J.
Hartnack, Katie E.
Obregon-Henao, Gabriel
Sampson, Aaron
Merlino, Margaret
Gannon, Karen
Bianchi, Matt T.
Ellenbogen, Jeffrey M.
Purdon, Patrick L.
and
Diedrichsen, Jörn
2014.
Tracking the Sleep Onset Process: An Empirical Model of Behavioral and Physiological Dynamics.
PLoS Computational Biology,
Vol. 10,
Issue. 10,
p.
e1003866.
Ranjbar, Mohammad R. Nezami
Tadesse, Mahlet G.
Wang, Yue
and
Ressom, Habtom W.
2015.
Bayesian Normalization Model for Label-Free Quantitative Analysis by LC-MS.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
Vol. 12,
Issue. 4,
p.
914.
Fakhr, Mohamed Waleed
2015.
Sparse locally linear and neighbor embedding for nonlinear time series prediction.
p.
371.
Srinivasamurthy, Ajay
Holzapfel, Andre
Cemgil, Ali Taylan
and
Serra, Xavier
2016.
A generalized Bayesian model for tracking long metrical cycles in acoustic music signals.
p.
76.
Lanoiselée, Yann
and
Grebenkov, Denis S.
2017.
Unraveling intermittent features in single-particle trajectories by a local convex hull method.
Physical Review E,
Vol. 96,
Issue. 2,
da Silva, Paulo H. D.
and
da-Silva, Cibele Q.
2017.
Dynamic changepoint detection in count time series: a particle filter approach.
Journal of Statistical Computation and Simulation,
Vol. 87,
Issue. 1,
p.
42.
Wang, Min
Abdelfattah, Sherif
Moustafa, Nour
and
Hu, Jiankun
2018.
Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals.
IEEE Transactions on Emerging Topics in Computational Intelligence,
Vol. 2,
Issue. 4,
p.
278.
Eltom, Hamid
Kandeepan, Sithamparanathan
Evans, Robin J.
Liang, Ying Chang
and
Ristic, Branko
2018.
Statistical spectrum occupancy prediction for dynamic spectrum access: a classification.
EURASIP Journal on Wireless Communications and Networking,
Vol. 2018,
Issue. 1,
Remo, Flavia
Luboobi, Livingstone S.
Mabalawata, Isambi Sailon
and
Nannyonga, Betty K.
2018.
A mathematical model for the dynamics and MCMC analysis of tomato bacterial wilt disease.
International Journal of Biomathematics,
Vol. 11,
Issue. 01,
p.
1850001.
Smith, Barton L
Neal, Douglas R
Feero, Mark A
and
Richards, Geordie
2018.
Assessing the limitations of effective number of samples for finding the uncertainty of the mean of correlated data.
Measurement Science and Technology,
Vol. 29,
Issue. 12,
p.
125304.
Boccignone, Giuseppe
2019.
Eye Movement Research.
p.
309.
Turkoz, Ibrahim
Sobel, Marc
and
Alphs, Larry
2019.
Application of Bayesian analyses to doubly randomized delayed start, matched control designs to demonstrate disease modification.
Pharmaceutical Statistics,
Vol. 18,
Issue. 1,
p.
22.
Schmitz, Gunnar
Godtliebsen, Ian Heide
and
Christiansen, Ove
2019.
Machine learning for potential energy surfaces: An extensive database and assessment of methods.
The Journal of Chemical Physics,
Vol. 150,
Issue. 24,
Martins, Camila Bertini
Muñoz, Viviana Aguilar
Gomes, André Yoshizumi
Savii, Ricardo Manhães
and
Colla, Carolina Locatelli
2019.
Towards Mathematics, Computers and Environment: A Disasters Perspective.
p.
163.
Dewhurst, David Rushing
Danforth, Christopher M.
and
Dodds, Peter Sheridan
2020.
Noncooperative dynamics in election interference.
Physical Review E,
Vol. 101,
Issue. 2,
Neri, Julian
Badeau, Roland
and
Depalle, Philippe
2020.
Probabilistic Filter and Smoother for Variational Inference of Bayesian Linear Dynamical Systems.
p.
5885.
Turlapaty, Anish C.
2020.
Variational Bayesian Estimation of Statistical Properties of Composite Gamma Log-Normal Distribution.
IEEE Transactions on Signal Processing,
Vol. 68,
Issue. ,
p.
6481.
Lahcene, Bachioua
2021.
On Statistical Analysis of Forecasting COVID-19 for the Upcoming Months in the Kingdom of Saudi Arabia.
International Journal of Statistics in Medical Research,
Vol. 10,
Issue. ,
p.
22.
McLachlan, Glen
Majdak, Piotr
Reijniers, Jonas
and
Peremans, Herbert
2021.
Towards modelling active sound localisation based on Bayesian inference in a static environment.
Acta Acustica,
Vol. 5,
Issue. ,
p.
45.
Andersson, Patrik
and
Lindholm, Mathias
2021.
Mortality forecasting using a Lexis-based state-space model.
Annals of Actuarial Science,
Vol. 15,
Issue. 3,
p.
519.