The following pages link to flexmix (Q18225):
Displaying 24 items.
- Mixtures of regression models with incomplete and noisy data (Q4563423) (← links)
- FREQUENTIST INFERENCE IN INSURANCE RATEMAKING MODELS ADJUSTING FOR MISREPRESENTATION (Q4629474) (← links)
- Modern Psychometrics with R (Q4687707) (← links)
- Latent regression analysis (Q4970576) (← links)
- Flexible mixture modelling with the polynomial Gaussian cluster-weighted model (Q4970990) (← links)
- A new look at the inverse Gaussian distribution with applications to insurance and economic data (Q5036583) (← links)
- A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates (Q5050789) (← links)
- Hierarchical mixture-of-experts models for count variables with excessive zeros (Q5079812) (← links)
- Simultaneous Semiparametric Estimation of Clustering and Regression (Q5084446) (← links)
- An evaluation of the bootstrap for model validation in mixture models (Q5084769) (← links)
- Finite mixture of regression models for a stratified sample (Q5107492) (← links)
- An Introduction to Clustering with R (Q5119497) (← links)
- <i>i</i>Fusion: Individualized Fusion Learning (Q5120662) (← links)
- A trajectory analysis of body mass index for Finnish children (Q5128654) (← links)
- Financial data modeling by Poisson mixture regression (Q5129102) (← links)
- A DIAGNOSTIC TOOL FOR CHECKING ASSUMPTIONS OF REGRESSION MIXTURE MODELS (Q5204767) (← links)
- Hidden Markov Models for Time Series: An Introduction Using R. Walter Zucchini, Iain L. McDonald, and Roland Langrock, Boca Raton, CRC Press (Q5214537) (← links)
- A convex program for mixed linear regression with a recovery guarantee for well-separated data (Q5242855) (← links)
- Mixture Markov regression model with application to mosquito surveillance data analysis (Q5348685) (← links)
- A Universal Approximation Theorem for Mixture-of-Experts Models (Q5380595) (← links)
- Identification and estimation of average causal effects when treatment status is ignorable within unobserved strata (Q5861025) (← links)
- Visualizing Count Data Regressions Using Rootograms (Q5884458) (← links)
- Hidden Markov models for time series. An introduction using R (Q5890752) (← links)
- Hidden Markov Models for Time Series (Q5901552) (← links)
