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Statistical analysis of vegetable productivity dynamics of Uzbekistan [PDF]
In all fields, there are a lot of random events at a given time. In particular, the process of growing agricultural crops, which is repeated over a certain period, that is, seasonally, is the basis for our analysis as a discrete {Yt,t ∈ T} random dynamic
Fayziev Akhtamjon +3 more
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Seaborn: Statistical Data Visualization
seaborn is a library for making statistical graphics in Python. It provides a high-level interface to matplotlib and integrates closely with pandas data structures. Functions in the seaborn library expose a declarative, dataset-oriented API that makes it
Michael L. Waskom
semanticscholar +1 more source
Professor Chen Ning Yang has made seminal and influential contributions in many different areas in theoretical physics. This talk focuses on his contributions in statistical mechanics, a field in which Professor Yang has held a continual interest for ...
Uwe-Jens Wiese, Albert Einstein
semanticscholar +1 more source
BackgroundIdentifying patients at a high risk of psychosis relapse is crucial for early interventions. A relevant psychiatric clinical context is often recorded in clinical notes; however, the utilization of unstructured data remains limited.
Dong Yun Lee +9 more
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Clustering CITE-seq data with a canonical correlation-based deep learning method
Single-cell multiomics sequencing techniques have rapidly developed in the past few years. Among these techniques, single-cell cellular indexing of transcriptomes and epitopes (CITE-seq) allows simultaneous quantification of gene expression and surface ...
Musu Yuan +4 more
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An introduction to statistical learning with applications in R
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Fariha Sohil +2 more
semanticscholar +1 more source
Probabilistic deconvolution of PET images using informed priors
PurposeWe present a probabilistic approach to medical image analysis that requires, and makes use of, explicit prior information provided by a medical expert.
Thomas Mejer Hansen +9 more
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performance: An R Package for Assessment, Comparison and Testing of Statistical Models
A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many ...
D. Lüdecke +4 more
semanticscholar +1 more source
Objective: To determine the multidimensionality of acceptance of spinal cord injury (SCI). Participants: Adults with SCI who were admitted to an SCI centre between 1991 and 2020. Methods: All eligible participants (n=686) were invit-ed to complete
Anders Aaby +3 more
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Cosmic statistics of statistics [PDF]
The errors on statistics measured in finite galaxy catalogs are exhaustively investigated. The theory of errors on factorial moments by Szapudi & Colombi (1996) is applied to cumulants via a series expansion method. All results are subsequently extended to the weakly non-linear regime.
Szapudi, I., Colombi, S., Bernardeau, F.
openaire +2 more sources

