Statistical inference on graphs - Biau, Bleakley - 2006Biau, G. and Bleakley, K. (2006). Statistical Inference on Graphs. Statistics & Decisions, 24:209-232.Frank, O. (1971). Statistical Inference in Graphs. Stockholm, FOA Repro Forsvarets Forskningsanstalk.BIAU, Gerard and Kevin BLEAKLEY ...
This paper presents a selective survey of recent developments in statistical inference and multiple testing for high-dimensional regression models, includi
solid horizontal line marks the values obtained for the true network, and the horizontal dashed line the values obtained with the Bayesian inference. The plot on the lower right shows the Jaccard similarity between the true and reconstructed networks, and the vertical line marks, in all figures, ...
Statistical inference relies heavily on finding as representative a sample as possible from which to draw conclusions about a wider population. As there will always be uncertainty about extrapolating from a limited set of data to a wider population, statistical inference relies upon estimating ...
More specialised topics like inference on network topology or processes on network graphs as well as analysis of the flow in a network are discussed in Chapters 7-9. The final chapter considers very briefly dynamic networks.doi:10.1111/insr.12095_10Klaus Nordhausen...
From linear and logistic regression to time-series and panel-data analyses, survival models, causal inference, Bayesian analysis, and machine learning, you can fit models, evaluate assumptions, make inferences, and interpret results with confidence. Explore statistical features → Publication-quality ...
Advanced Statistics Courses & On-Site Seminars In addition to our online statistics courses that are available to anyone, we also provide private statistics seminars and training targeted to the needs of your organization. These seminars can cover topics that are not often taught in graduate curricul...
The most common examples of linegraphs have some notion of time on the x-axis: hours, days, weeks, years, etc. Since time is sequential, we connect consecutive observations of the variable on the y-axis with a line. Linegraphs that have some notion of time on the x-axis are also cal...
An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.
Good stuff. Also fun that she did a control group. We associate the control group with causal inference, but here she’s using it to evaluate a prediction, which mathematically is a similar problem–it’s a comparison!–but without the direct estimation of any causal effect. ...