> Verlagsreihe
-
47:
High-dimensional probability an introduction with applications in data science Roman Vershynin, University of California, Irvine
Cambridge; New York, NY; Port Melbourne, VIC; New Delhi; Singapore: Cambridge University Press, 2018
-
44:
Fundamentals of nonparametric Bayesian inference Subhashis Ghosal (North Carolina State University), Aad van der Vaart (Leiden University)
Cambridge; New York, NY; Port Melbourne, VIC; Delhi; Singapore: Cambridge University Press, 2017
-
43:
Random Graphs and Complex Networks Volume 1 Remco van der Hofstad
Cambridge: Cambridge University Press, 2017
-
35:
Exercises in probability a guided tour from measure theory to random processes, via conditioning Loi͏̈c Chaumont; Marc Yor
Cambridge [u.a.]: Cambridge Univ. Press, c2012
-
[34]:
Regression for categorical data Gerhard Tutz
Cambridge [u.a.]: Cambridge University Press, 2012
-
28:
Bayesian nonparametrics ed. by Nils Lid Hjort
Cambridge [u.a.]: Cambridge University Press, 2012
-
33:
Stochastic processes Richard F. Bass
Cambridge [u.a.]: Cambridge University Press, 2011
-
10:
Data analysis and graphics using R an example-based approach John Maindonald and W. John Braun
Cambridge [u.a.]: Cambridge University Press, 2011
-
[7]:
Numerical methods of statistics John F. Monahan
Cambridge: Cambridge University Press, 2010
-
[31]:
Probability theory and examples Rick Durrett
Cambridge [u.a.]: Cambridge Univ. Press, 2010
-
28:
Bayesian nonparametrics ed. by Nils Lid Hjort; Chris Holmes; Peter Müller, Stephen G. Walker
Cambridge [u.a.]: Cambridge University Press, 2010
-
[30]:
Brownian motion Peter Mörters and Yuval Peres ; with an appendix by Oded Schramm and Wendelin Werner
Cambridge: Cambridge University Press, 2010
-
[27]:
Model selection and model averaging Gerda Claeskens; Nils Lid Hjort
Cambridge [u.a.]: Cambridge Univ. Press, 2009
-
[25]:
Design of comparative experiments R. A. Bailey
Cambridge [u.a.]: Cambride University Press, 2008
-
[26]:
Symmetry studies an introduction to the analysis of structured data in applications Marlos A. G. Viana
Cambridge [u.a.]: Cambridge Univ. Press, 2008
-
[27]:
Model selection and model averaging Gerda Claeskens; Nils Lid Hjort
Cambridge [u.a.]: Cambridge Univ. Press, 2008
-
[21]:
Networks: optimisation and evolution Peter Whittle
Cambridge [u.a.]: Cambridge University Press, 2007
-
[24]:
Random networks for communication from statistical physics to information systems Massimo Franceschetti and Ronald Meester
Cambridge [u.a.]: Cambridge Univ. Press, 2007
-
[2]:
Markov chains J. R. Norris
Cambridge [u.a.]: Cambridge Univ. Press, 2007
-
[6]:
Applications of empirical process theory Sara A. van de Geer
Cambridge: Cambridge Univ. Pr., 2006
-
[17]:
Elements of distribution theory Thomas A. Severini
New York, NY [u.a.]: Cambridge Univ. Press, 2005
-
[16]:
Essentials of statistical inference G. A. Young; R. L. Smith
Cambridge [u.a.]: Cambridge University Press, 2005
-
[14]:
Statistical analysis of stochastic processes in time J. K. Lindsey
Cambridge [u.a.]: Cambridge University Press, 2004
-
[11]:
Statistical models A. C. Davison
Cambridge [u.a.]: Cambridge Univ. Press, 2003
-
[8]:
A user's guide to measure theoretic probability David Pollard
Cambridge; New York [u.a.]: Cambridge University Press, 2002
-
4:
Wavelet methods for time series analysis Donald B. Percival; Andrew T. Walden
Cambridge [u.a.]: Cambridge Univ. Press, 2002
-
4:
Wavelet methods for time series analysis Donald B. Percival;Andrew T. Walden
Cambridge [u.a.]: Cambridge Univ. Press, 2000
-
[2]:
Markov chains J. R. Norris
Cambridge [u.a.]: Cambridge Univ. Press, 1999
-
[2]:
Markov chains J. R. Norris
Cambridge [u.a.]: Cambridge Univ. Press, 1998
-
[1]:
Bootstrap methods and their application A. C. Davison; D. V. Hinkley
Cambridge [u.a.]: Cambridge Univ. Press, 1997
-
[2]:
Markov chains J. R. Norris
Cambridge [u.a.]: Cambridge Univ. Press, 2009