Richard Gerlach
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Efficient Bayesian inference for dynamic mixture models
R Gerlach, C Carter, R Kohn
Journal of the American Statistical Association 95 (451), 819-828, 2000
Bayesian time-varying quantile forecasting for value-at-risk in financial markets
RH Gerlach, CWS Chen, NYC Chan
Journal of Business & Economic Statistics 29 (4), 481-492, 2011
Structural breaks and diversification: the impact of the 1997 Asian financial crisis on the integration of Asia-Pacific real estate markets
R Gerlach, P Wilson, R Zurbruegg
Journal of International Money and Finance 25 (6), 974-991, 2006
Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution
Q Chen, R Gerlach, Z Lu
Computational Statistics & Data Analysis 56 (11), 3498-3516, 2012
A comparison of Bayes–Laplace, Jeffreys, and other priors: the case of zero events
F Tuyl, R Gerlach, K Mengersen
The American Statistician 62 (1), 40-44, 2008
Bayesian forecasting for financial risk management, pre and post the global financial crisis
CWS Chen, R Gerlach, EMH Lin, WCW Lee
Journal of Forecasting 31 (8), 661-687, 2012
Optimal dynamic hedging via copula-threshold-GARCH models
YH Lai, CWS Chen, R Gerlach
Mathematics and Computers in Simulation 79 (8), 2609-2624, 2009
Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range
CWS Chen, R Gerlach, BBK Hwang, M McAleer
International Journal of Forecasting 28 (3), 557-574, 2012
Diagnostics for time series analysis
R Gerlach, C Carter, R Kohn
Journal of Time Series Analysis 20 (3), 309-330, 1999
Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters
R Gerlach, K Mengersen, F Tuyl
Bayesian analysis 4 (1), 151-158, 2009
The australian eeg database
M Hunter, RLL Smith, W Hyslop, OA Rosso, R Gerlach, JAP Rostas, ...
Clinical EEG and neuroscience 36 (2), 76-81, 2005
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
M Abolghasemi, E Beh, G Tarr, R Gerlach
Computers & industrial engineering 142, 106380, 2020
The two-sided Weibull distribution and forecasting financial tail risk
Q Chen, RH Gerlach
International Journal of Forecasting 29 (4), 527-540, 2013
A comparison of estimators for regression models with change points
CWS Chen, JSK Chan, R Gerlach, WYL Hsieh
Statistics and Computing 21 (3), 395-414, 2011
Volatility forecasting using threshold heteroskedastic models of the intra-day range
CWS Chen, R Gerlach, EMH Lin
Computational Statistics & Data Analysis 52 (6), 2990-3010, 2008
Comparison of nonnested asymmetric heteroskedastic models
CWS Chen, R Gerlach, MKP So
Computational Statistics & Data Analysis 51 (4), 2164-2178, 2006
Exponentially smoothing the skewed Laplace distribution for Value‐at‐Risk forecasting
R Gerlach, Z Lu, H Huang
Journal of Forecasting 32 (6), 534-550, 2013
A generalized class of skew distributions and associated robust quantile regression models
N Wichitaksorn, STB Choy, R Gerlach
Canadian Journal of Statistics 42 (4), 579-596, 2014
Forecasting volatility with asymmetric smooth transition dynamic range models
EMH Lin, CWS Chen, R Gerlach
International Journal of Forecasting 28 (2), 384-399, 2012
Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models
R Gerlach, CWS Chen
Statistics and Computing 18 (4), 391-408, 2008
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