Recursive Partitioning of Network Models (networktree)Methods to create tree models with correlation-based network models (multivariate normal distributions).
R Packages worth a look
Multiple Change-Point Detection for High-Dimensional GARCH Processes (segMGarch)Implements a segmentation algorithm for multiple change-point detection in high-dimensional GARCH processes. It simultaneously segments GARCH processes …
Silent Duels and an Old Paper of Restrepo
Two men start running at each other with loaded pistols, ready to shoot!
Distilled News
Forward and Reverse Containment Logic – Introduction to Relational Data Logistics
Introducing RcppDynProg
RcppDynProg
is a new Rcpp
based R
package that implements simple, but powerful, table-based dynamic programming. This package can be used to optimally solve the minimum cost partition into intervals problem (described below) and is useful in building piecewise estimates of functions (shown in this note).
R Packages worth a look
Pulls Information from Prov.Json Files (provParseR)R functions to access provenance information collected by ‘rdt’ or ‘rdtLite’. The information is stored inside a ‘ProvInfo’ object and can be accessed …
Introducing RcppDynProg
RcppDynProg
is a new Rcpp
based R
package that implements simple, but powerful, table-based dynamic programming. This package can be used to optimally solve the minimum cost partition into intervals problem (described below) and is useful in building piecewise estimates of functions (shown in this note).
Authority figures in psychology spread more happy talk, still don’t get the point that much of the published, celebrated, and publicized work in their field is no good (Part 2)
Part 1 was here.
Whats new on arXiv
Automatic Summarization of Natural Language
New Year's Resolution: Help Data Scientists Help You
lynn.heidmann@dataiku.com (Lynn Heidmann)
发表于
Earlier this month, Forbes cited the key to getting value from data science as teamwork. That means in the coming year, with an increased focus on collaboration, lines of business will likely have more opportunities than ever to work together with data scientists. But this relationship will only work if business people help data teams help them by asking the right questions.