Erik Bølviken

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All published works
Action Title Year Authors
+ PDF Chat Loss modeling with many-parameter distributions 2024 Erik Bølviken
Ingrid Hobæk Haff
+ PDF Chat How Much Is Optimal Reinsurance Degraded by Error? 2021 Yinzhi Wang
Erik Bølviken
+ How much is optimal reinsurance degraded by error 2019 Yinzhi Wang
Erik Bølviken
+ Optimal reinsurance for risk over surplus ratios 2019 Erik Bølviken
Yinzhi Wang
+ PDF Chat How much is optimal reinsurance degraded by error? 2019 Yinzhi Wang
Erik Bølviken
+ Optimal reinsurance for risk over surplus ratios 2019 Erik Bølviken
Yinzhi Wang
+ How much is optimal reinsurance degraded by error? 2019 Yinzhi Wang
Erik Bølviken
+ One family, six distributions -- A flexible model for insurance claim severity 2018 Erik Bølviken
Ingrid Hobæk Haff
+ One family, six distributions -- A flexible model for insurance claim severity 2018 Erik Bølviken
Ingrid Hobæk Haff
+ Linear algebra and stochastic vectors 2014 Erik Bølviken
+ Numerical algorithms: A third tool 2014 Erik Bølviken
+ Random variables: Principal tools 2014 Erik Bølviken
+ Liabilities over long terms 2014 Erik Bølviken
+ Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling 2003 Øivind Skare
Erik Bølviken
Lars Holden
+ A general parameter updating approach to image classification 2002 Hongtao Jiang
Erik Bølviken
+ PDF Chat Confidence Intervals from Monte Carlo Tests 1996 Erik Bølviken
Eva Skovlund
+ PDF Chat Confidence Intervals From Monte Carlo Tests 1996 Erik Bølviken
Eva Skovlund
+ Projection pursuit regression for moderate non-linearities 1993 Magne Aldrin
Erik Bølviken
Tore Schweder
+ MAXIMIN SELECTION AND MULTIPLE COMPARISON PROCEDURES IN MULTIVARIATE NORMAL MODELS 1977 Erik Bølviken
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Modeling loss data using composite models 2014 Shaiful Anuar Abu Bakar
Nor Aishah Hamzah
Mastoureh Maghsoudi
Saralees Nadarajah
2
+ 20 The art of computer generation of random variables 1993 M. T. Boswell
Sharad D. Gore
G. P. Patil
C. Taillie
2
+ Fast Computation of Exact Confidence Limits for the Common Odds Ratio in a Series of 2 × 2 Tables 1991 Dan J. Stein
Karim F. Hirji
Robert M. Elashoff
2
+ Modeling and Evaluating Insurance Losses Via Mixtures of Erlang Distributions 2010 Simon C. K. Lee
X. Sheldon Lin
2
+ Tools for Statistical Inference 1993 Martin A. Tanner
2
+ PDF Chat Adaptive Design and Stochastic Approximation 1979 Tze Leung Lai
Herbert Robbins
2
+ PDF Chat Finite Sample Properties and Asymptotic Efficiency of Monte Carlo Tests 1986 Karl‐Heinz Jöckel
2
+ Generating Monte Carlo Confidence Intervals by the Robbins-Monro Process 1992 Paul H. Garthwaite
S. T. Buckland
2
+ Probabilistic Inference Using Markov Chain Monte Carlo Methods 2011 Radford M. Neal
2
+ Modeling loss data using mixtures of distributions 2016 Tatjana Miljkovic
Bettina Grün
2
+ PDF Chat Theoretical Comparison of Bootstrap Confidence Intervals 1988 Peter Hall
2
+ Multiple Comparison Procedures 2013 Y. Hochberg
Ajit C. Tamhane
1
+ Inference for the Poly-Weibull Model 2000 A. C. Davison
Francisco Louzada
1
+ Fast Computation of Exact Confidence Limits for the Common Odds Ratio in a Series of 2 × 2 Tables 1991 Dan J. Stein
Karim F. Hirji
Robert M. Elashoff
1
+ Inference from a Deterministic Population Dynamics Model for Bowhead Whales 1995 Adrian E. Raftery
Geof H. Givens
Judith E. Zeh
1
+ Computing Distributions for Exact Logistic Regression 1987 Karim F. Hirji
Cyrus R. Mehta
Nitin R. Patel
1
+ Modeling insurance claims via a mixture exponential model combined with peaks-over-threshold approach 2012 David Lee
Wai Keung Li
Tony Siu Tung Wong
1
+ Estimating Optimal Transformations for Multiple Regression and Correlation 1985 Leo Breiman
Jerome H. Friedman
1
+ Metropolized independent sampling with comparisons to rejection sampling and importance sampling 1996 Jun S. Liu
1
+ PDF Chat Some Model I Problems of Selection 1961 E. L. Lehmann
1
+ Hyperparameter estimation in forecast models 1999 Hedibert F. Lopes
Ajax Reynaldo Bello Moreira
Alexandra M. Schmidt
1
+ Bayesian Statistics without Tears: A Sampling–Resampling Perspective 1992 A. F. M. Smith
Alan E. Gelfand
1
+ PDF Chat Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference 1995 Charles J. Geyer
E. A. Thompson
1
+ Testing Statistical Hypotheses 2021 E. L. Lehmann
1
+ Multivariate Density Estimation 1992 David W. Scott
1
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
1
+ Bayesians Should Not Resample a Prior Sample to Learn about the Posterior 1996 Sheldon M. Ross
1
+ Bayesian Inference in Econometric Models Using Monte Carlo Integration 1989 John Geweke
1
+ An Introduction to Multivariate Statistical Analysis 1986 Robb J. Muirhead
T. W. Anderson
1
+ Estimating Transformations for Regression via Additivity and Variance Stabilization 1988 Robert Tibshirani
1
+ Sequential Monte Carlo Methods for Dynamic Systems 1998 Jun S. Liu
Rong Chen
1
+ Balanced Simultaneous Confidence Sets 1988 Rudolf Beran
1
+ Improved particle filter for nonlinear problems 1999 James R. Carpenter
Peter Clifford
Paul Fearnhead
1
+ Sampling-Based Approaches to Calculating Marginal Densities 1990 Alan E. Gelfand
A. F. M. Smith
1
+ PDF Chat Projection Pursuit Regression 1981 Jerome H. Friedman
Werner Stuetzle
1
+ PDF Chat Geometric convergence of the Metropolis-Hastings simulation algorithm 1998 Lars Holden
1
+ Weighted Average Importance Sampling and Defensive Mixture Distributions 1995 Tim Hesterberg
1
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
1
+ The Calculation of Posterior Distributions by Data Augmentation 1987 Martin A. Tanner
Wing Hung Wong
1
+ PDF Chat Bayesian Statistics without Tears: A Sampling-Resampling Perspective 1992 A. F. M. Smith
Alan E. Gelfand
1
+ Fitting the Log-Normal Distribution to Loss Data Subject to Multiple Deductibles 1984 Paul G. Marlin
1
+ Nonparametric Statistical Methods 1999 1
+ The Calculation of Posterior Distributions by Data Augmentation: Comment: A Noniterative Sampling/Importance Resampling Alternative to the Data Augmentation Algorithm for Creating a Few Imputations When Fractions of Missing Information Are Modest: The SIR Algorithm 1987 Donald B. Rubin
1
+ Mathematical Problems in Engineering 2022 1
+ PDF Chat Modelling censored losses using splicing: A global fit strategy with mixed Erlang and extreme value distributions 2017 Tom Reynkens
Roel Verbelen
Jan Beirlant
Katrien Antonio
1
+ MODELLING INSURANCE LOSSES USING CONTAMINATED GENERALISED BETA TYPE-II DISTRIBUTION 2018 Jennifer Chan
S. T. Boris Choy
Udi Makov
Zinoviy Landsman
1
+ PDF Chat Modeling the Frequency and Severity of Auto Insurance Claims Using Statistical Distributions 2018 Cyprian Ondieki Omari
Shalyne Gathoni Nyambura
Joan Martha Wairimu Mwangi
1
+ PDF Chat Optimal insurance under rank‐dependent utility and incentive compatibility 2018 Zuo Quan Xu
Xun Yu Zhou
Sheng Chao Zhuang
1
+ Optimal reinsurance for risk over surplus ratios 2019 Erik Bølviken
Yinzhi Wang
1
+ Fitting multivariate Erlang mixtures to data: A roughness penalty approach 2020 Wenyong Gui
Rongtan Huang
X. Sheldon Lin
1