The following pages link to Claudia Czado (Q261569):
Displaying 50 items.
- Pair-copula constructions of multiple dependence (Q80563) (← links)
- Selecting and estimating regular vine copulae and application to financial returns (Q80568) (← links)
- Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas (Q93079) (← links)
- D-vine copula based quantile regression (Q112600) (← links)
- Modeling individual migraine severity with autoregressive ordered probit models (Q261572) (← links)
- Sequential Bayesian model selection of regular vine copulas (Q273648) (← links)
- (Q311806) (redirect page) (← links)
- Simplified pair copula constructions -- limitations and extensions (Q391668) (← links)
- (Q434913) (redirect page) (← links)
- Efficient Bayesian inference for stochastic time-varying copula models (Q434914) (← links)
- Comparing point and interval estimates in the bivariate \(t\)-copula model with application to financial data (Q641791) (← links)
- Non nested model selection for spatial count regression models with application to health insurance (Q744767) (← links)
- State space mixed models for longitudinal observations with binary and binomial responses (Q840936) (← links)
- Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors (Q849870) (← links)
- A nonparametric test for similarity of marginals -- with applications to the assessment of population bioequivalence (Q866613) (← links)
- Bayesian Poisson log-bilinear mortality projections (Q882853) (← links)
- A vine-copula based adaptive MCMC sampler for efficient inference of dynamical systems (Q907979) (← links)
- Rejoinder: ``A vine-copula based adaptive MCMC sampler for efficient inference of dynamical systems'' (Q907981) (← links)
- Modelling count data with overdispersion and spatial effects (Q946264) (← links)
- Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler? (Q1023764) (← links)
- The effect of link misspecification on binary regression inference (Q1205460) (← links)
- Bayesian inference of binary regression models with parametric link (Q1333094) (← links)
- Parametric link modification of both tails in binary regression (Q1342780) (← links)
- On selecting parametric link transformation families in generalized linear models (Q1360976) (← links)
- Application of survival analysis methods to long-term care insurance. (Q1413369) (← links)
- Noncanonical links in generalized linear models -- when is the effort justified? (Q1577331) (← links)
- Multivariate regression analysis of panel data with binary outcomes applied to unemployment data (Q1580843) (← links)
- Nonparametric estimation of simplified vine copula models: comparison of methods (Q1616352) (← links)
- SCOMDY models based on pair-copula constructions with application to exchange rates (Q1623548) (← links)
- Regime switches in the dependence structure of multidimensional financial data (Q1623563) (← links)
- Bayesian model selection of regular vine copulas (Q1631599) (← links)
- Model selection for discrete regular vine copulas (Q1658513) (← links)
- Vine copula based likelihood estimation of dependence patterns in multivariate event time data (Q1662047) (← links)
- Comorbidity of chronic diseases in the elderly: patterns identified by a copula design for mixed responses (Q1663275) (← links)
- Model distances for vine copulas in high dimensions (Q1702012) (← links)
- Analyzing dependent data with vine copulas. A practical guide with R (Q1738351) (← links)
- (Q2001096) (redirect page) (← links)
- Model selection in sparse high-dimensional vine copula models with an application to portfolio risk (Q2001097) (← links)
- A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series (Q2008095) (← links)
- Conditional copula simulation for systemic risk stress testing (Q2015640) (← links)
- Total loss estimation using copula-based regression models (Q2015655) (← links)
- Locating multiple interacting quantitative trait loci with the zero-inflated generalized Poisson regression (Q2254460) (← links)
- Selection of sparse vine copulas in high dimensions with the Lasso (Q2329765) (← links)
- Bayesian total loss estimation using shared random effects (Q2347072) (← links)
- Spatial composite likelihood inference using local C-vines (Q2350040) (← links)
- Conditional quantiles and tail dependence (Q2350042) (← links)
- Dependence modelling in ultra high dimensions with vine copulas and the graphical Lasso (Q2416782) (← links)
- Model selection strategies for identifying most relevant covariates in homoscedastic linear models (Q2445774) (← links)
- Nonparametric C- and D-vine-based quantile regression (Q2667760) (← links)
- Bootstrap methods for the nonparametric assessment of population bioequivalence and similarity of distributions (Q2720219) (← links)
