Author: YoungStatS

Feed: R-bloggers. Author: YoungStatS. In frozen percolation on a graph, there is a barrier located on each edge. Initially, the barriers are closed and they are assigned i.i.d. uniformly distributed activation times. At its activation time, a barrier opens, provided it is not frozen. At a fixed set (Xi) of freezing times, all barriers that percolate are frozen. In particular, if (Xi) is the whole unit interval, this means that clusters stop growing as soon as they reach infinite size. Aldous (2000) showed that such a process can be constructed on the infinite 3-regular tree. He also proved uniqueness in law ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Novel Algebraic Approaches to Maximum Likelihood Estimation The seventh “One World webinar” organized by YoungStatS will take place on November 17th, 2021. Maximum likelihood estimation (MLE) is a tool in data analysis to estimate a probability distribution or density in a statistical model for given data. In recent decades, algebraic and combinatorial tools have ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample ({X}_n=(X_{1},ldots,X_{n})) of size (n) from a finite population of size (bar{n}=n+lambda n), with (lambda>0), such that each sample record (X_i) contains two disjoint types of information: identifying categorical information and sensitive information. Identifying ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Advances in Difference-in-Differences in Econometrics The eighth “One World webinar” organized by YoungStatS will take place on December 13th, 2021. The difference-in-differences design is a quasi-experimental identification strategy for estimating causal effects which has become the single most popular research design in the quantitative social sciences, and as such, it merits careful study by ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Advancements in Symbolic Data Analysis The sixth “One World webinar” organized by YoungStatS will take place on October 27th, 2021. With the development of digital systems, very large datasets have become routine. However, standard statistical approaches do not have the power or flexibility to analyse these efficiently, and extract the required knowledge. Symbolic Data ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Figure 1: Depth quantile functions for the wine data (d=13), class 2 vs class 3. Blue curves correspond to between class comparisons, red/pink correspond to within class comparisons. A common technique in modern statistics is the so-called kernel trick, where data is mapped into a (usually) infinite-dimensional feature space, where various statistical tasks can ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The fifth “One World webinar” organized by YoungStatS will take place on September 15th, 2021. Selected young European researchers active in the areas of probability and machine learning will present their recent contributions. The webinar is joint cooperation between the Young Researchers Committee of the Bernoulli Society and the YoungStatS project. When & Where: ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction In the past decades, intelligent transportation system (ITS) has brought advanced technology that enables a data-rich environment and unprecedented opportunities for traffic prediction, which is considered as one of the most prevalent issues facing ITS (Li et al., 2015). We discuss the online prediction of the origin-destination (OD) demand count in traffic networks, ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In recent years, a surprising number of scientific results have failed to hold up to continued scrutiny. Part of this ‘replicability crisis’ may be caused by practices that ignore the assumptions of traditional (frequentist) statistical methods (John, Loewenstein, and Prelec 2012). One of these assumptions is that the experimental protocol should be completely determined ... Read More

Feed: R-bloggers. Author: YoungStatS. [This article was first published on YoungStatS, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The fourth “One World webinar” organized by YoungStatS will take place on June 20th, 2021. The topic of this webinar is on Functional Data Analysis. Selected young European researchers active in this area of research will present their contributions on spherical functional autoregressions, additive models, and clustering methods for functional data, with the focus ... Read More