Computational Statistics View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1992

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/180

Recent publications latest 20 shown

  • 2019-04-11 Some properties of double truncated distributions and their application in view of income inequality
  • 2019-04-03 Dynamic semi-parametric factor model for functional expectiles
  • 2019-04-03 Semiparametric approaches for matched case–control studies with error-in-covariates
  • 2019-03-28 Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling
  • 2019-03-27 Weighted composite quantile regression for single index model with missing covariates at random
  • 2019-03-27 Maximum likelihood method for bandwidth selection in kernel conditional density estimate
  • 2019-03-22 Bootstrap ICC estimators in analysis of small clustered binary data
  • 2019-03-19 Community engagement and subgroup meta-knowledge: some factors in the soul of a community
  • 2019-03-18 Clicks and cliques: exploring the soul of the community
  • 2019-03-18 Consistency of survey opinions and external data
  • 2019-03-11 A note on parallel sampling in Markov graphs
  • 2019-03-07 A multiple-try Metropolis–Hastings algorithm with tailored proposals
  • 2019-03-05 Appointment scheduling optimization with two stages diagnosis for clinic outpatient
  • 2019-03-05 Recursive estimation of multivariate hidden Markov model parameters
  • 2019-03 Neural network gradient Hamiltonian Monte Carlo
  • 2019-03-01 Four algorithms to construct a sparse kriging kernel for dimensionality reduction
  • 2019-03 Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
  • 2019-03 Improved model-based clustering performance using Bayesian initialization averaging
  • 2019-03 Flexible regression modeling for censored data based on mixtures of student-t distributions
  • 2019-02-27 Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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