The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) <arXiv:1805.11793>.

Tools for creating and visualizing statistical process control charts. Control charts are used for monitoring measurement processes, such as those occurring in manufacturing.  The objective is to monitor the history of such processes and flag outlying measurements: out-of-control signals.  Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive discussion of the methodology.

The package provide a set of functions that extend the cancor function with new numerical and graphical outputs. It also include a regularized extension of the cannonical correlation analysis to deal with datasets with more variables than observations.

Provides a set of functions that extend the
'cancor' function with new numerical and graphical outputs. It
also include a regularized extension of the canonical
correlation analysis to deal with datasets with more variables
than observations.

The package provide a set of functions that extend the
cancor function with new numerical and graphical outputs. It
also include a regularized extension of the cannonical
correlation analysis to deal with datasets with more variables
than observations.

Bayesian canonical correlation analysis and group factor
analysis
Variational Bayesian algorithm for learning canonical
correlation analysis (CCA), inter-battery factor analysis
(IBFA), and group factor analysis (GFA)

Seppo Virtanen, Eemeli Leppaaho and Arto Klami
Variational Bayesian algorithm for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA), and group factor analysis (GFA)

Bayesian Canonical Correlation Analysis and Group Factor
Analysis
c(person("Seppo", "Virtanen", role = c("aut", "cre"),
email = "s.virtanen@warwick.ac.uk"),
person("Eemeli", "Leppaaho", role = "aut",
email = "eemeli.leppaaho@aalto.fi"),
person("Arto", "Klami", role = "aut",
email = "arto.klami@cs.helsinki.fi"))
Seppo Virtanen [aut, cre],
Eemeli Leppaaho [aut],
Arto Klami [aut]
Variational Bayesian algorithms for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA), and group factor analysis (GFA). Inference with several random initializations can be run with the functions CCAexperiment() and GFAexperiment().