Chris Bishop

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All published works

Action	Title	Year	Authors
+	Structured Distributions	2023	Chris Bishop Hugh Bishop
+	LibGuides: Nursing Research 343 / Online: Boolean Searching	2019	Chris Bishop
+	LibGuides: Biomedical Science Masters: Statistical Analysis	2016	Chris Bishop
+	Variational Relevance Vector Machines	2013	Chris Bishop Michael E. Tipping
+	Variational Relevance Vector Machines	2013	Chris Bishop Michael E. Tipping
+	Mixture Representations for Inference and Learning in Boltzmann Machines	2013	Neil D. Lawrence Chris Bishop Michael I. Jordan
+	Bayesian Hierarchical Mixtures of Experts	2012	Chris Bishop Markus Svensén
+	Bayesian Hierarchical Mixtures of Experts	2012	Chris Bishop Markus Svensén
+ PDF Chat	Stochastic Six-Degree-of-Freedom Flight Simulator for Passively Controlled High-Power Rockets	2010	Simon Box Chris Bishop H.E.M. Hunt
+	Robust Bayesian mixture modelling	2005	Markus Svensén Chris Bishop
+	Error functions	2004	Chris Bishop
+	Structured Variational Distributions in VIBES	2003	Chris Bishop John Winn
+	VIBES: A Variational Inference Engine for Bayesian Networks	2002	Chris Bishop David J. Spiegelhalter John Winn
+	Discussion of `Bayesian Treed Generalized Linear Models' by H. A. Chipman, E. I. George and R. E. McCulloch	2002	Chris Bishop
+	Variational Bayesian Model Selection for Mixture Distributions	2001	Adrian Corduneanu Chris Bishop
+	Variational principal components	1999	Chris Bishop
+	Ensemble Learning for Multi-Layer Networks	1997	David Barber Chris Bishop
+	An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression	1997	Cazhaow S. Qazaz Christopher K. I. Williams Chris Bishop
+	Bayesian Model Comparison by Monte Carlo Chaining	1996	David Barber Chris Bishop
+	Regression with Input-Dependent Noise: A Bayesian Treatment	1996	Chris Bishop Cazhaow S. Quazaz
+	Bayesian inference of noise levels in regression	1996	Chris Bishop Cazhaow S. Qazaz
+	Calculus Of Variations	1995	Chris Bishop
+	Gaussian Integrals	1995	Chris Bishop
+	Lagrange Multipliers	1995	Chris Bishop
+	Statistics, by David Cassell, Ian Hardwick, Mary Rouncefield and David Burghes. Pp 268. £11-99. 1994. ISBN 0-435-51606-X(Heinemann Educational)	1995	Chris Bishop
+	Introductory statistics (5th edition), by Thomas H. Wonnacott and Ronald J. Wonnacott. Pp 711. £16·95. 1990. ISBN 0-471-51733-X (Wiley)	1991	Chris Bishop
+	Alpha particle induced magnetoacoustic instability in a thermonuclear plasma	1989	Chris Bishop Richard Fitzpatrick R. J. Hastie J. C. Jackson
+	Semi-classical technique in field theory : some applications	1983	Chris Bishop

Common Coauthors

Coauthor	Papers Together
Markus Svensén	3
Cazhaow S. Qazaz	2
John Winn	2
David Barber	2
Michael E. Tipping	2
Hugh Bishop	1
Cazhaow S. Quazaz	1
Christopher K. I. Williams	1
Richard Fitzpatrick	1
R. J. Hastie	1
Simon Box	1
H.E.M. Hunt	1
David J. Spiegelhalter	1
J. C. Jackson	1
Neil D. Lawrence	1
Michael I. Jordan	1
Adrian Corduneanu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Variational principal components	1999	Chris Bishop	3
+ PDF Chat	Bayesian Interpolation	1992	David Mackay	2
+	VIBES: A Variational Inference Engine for Bayesian Networks	2002	Chris Bishop David J. Spiegelhalter John Winn	2
+	None	2000	David J. Lunn Andrew C. Thomas Nicky Best David J. Spiegelhalter	2
+	SIX DEGREE OF FREEDOM DIGITAL SIMULATION MODEL FOR UNGUIDED FIN-STABILIZED ROCKETS	1964	Louis D. Duncan Ronald Ensey	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+ PDF Chat	Unsupervised selection and estimation of finite mixture models	2002	Mário A. T. Figueiredo Anshul Jain	1
+	The Boltzmann equation an d the one-fluid hydromagnetic equations in the absence of particle collisions	1956	Geoffrey F. Chew M. L. Goldberger F. E. Low	1
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	1
+ PDF Chat	On the relationship between Bayesian error bars and the input data density	1995	Christopher K. I. Williams	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	On the determination of the number of components in a mixture	1998	Athanase Polymenis D. M. Titterington	1
+	Mixtures of principal component analyzers	1997	Michael E. Tipping C.M. Bishop	1
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	1
+	The Infinite Gaussian Mixture Model	1999	Carl Edward Rasmussen	1
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	1
+	Principal Component Analysis	1988	Colin Goodall Ian T. Jolliffe	1
+	Variational Inference for Bayesian Mixtures of Factor Analysers	1999	Zoubin Ghahramani Matthew J. Beal	1
+	Variational Approximations between Mean Field Theory and the Junction Tree Algorithm	2013	Wim Wiegerinck	1
+	Bayesian Treed Generalized Linear Models	2003	Hugh Chipman Edward I. George Roberte.E Mcculloch	1
+	Estimation of Finite Mixture Distributions Through Bayesian Sampling	1994	Jean Diebolt Christian P. Robert	1
+	Variational Bayesian Model Selection for Mixture Distributions	2001	Adrian Corduneanu Chris Bishop	1
+	Robust cluster analysis via mixtures of multivariate t-distributions	1998	Geoffrey J. McLachlan David Peel	1
+	None	2000	Tommi Jaakkola Michael I. Jordan	1
+	Structured Variational Distributions in VIBES	2003	Chris Bishop John Winn	1