Search results for "tilastot"
showing 10 items of 70 documents
Vuosikirja 2022 / 2023
2022
Toimintakertomus 2020-2021
Toimintakertomus 2006
2007
Toimintakertomus 2009
2010
Data from an international multi-centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Datas…
2023
This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across differ…
Itseopiskelumateriaalia: Kausaalimallintamisen perusteet tilastotieteessä
2016
Tämä moniste on tarkoitettu itseopiskelumateriaaliksi tilastotieteen maisterivaiheen opiskelijoille (tai vastaavat tiedot omaaville). Erityisesti todennäköisyyslaskennan ja yleistettyjen lineaaristen mallien tuntemus on tarpeen. Materiaalin tarkoituksena on selvittää lukijalle perusteet Judea Pearlin kehittämästä kausaalimallintamisesta ja -laskennasta. Materiaali perustuu Judea Pearlin kirjaan Causality [Pearl, 2009]. Lauseiden ja määritelmien kohdalla annetaan aina kirjan osio, josta nämä löytyvät. nonPeerReviewed
Sattumaa, haperotatteja ja keltainen syklotroni : aikalaistarinoita Jyväskylän yliopiston matemaattis-luonnontieteellisen tiedekunnan 50-vuotiselta t…
2015
Analysis and evaluation of cell imputation
2008
Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data
2018
Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …
Bayesian semiparametric long memory models for discretized event data
2020
We introduce a new class of semiparametric latent variable models for long memory discretized event data. The proposed methodology is motivated by a study of bird vocalizations in the Amazon rain forest; the timings of vocalizations exhibit self-similarity and long range dependence. This rules out Poisson process based models where the rate function itself is not long range dependent. The proposed class of FRActional Probit (FRAP) models is based on thresholding, a latent process. This latent process is modeled by a smooth Gaussian process and a fractional Brownian motion by assuming an additive structure. We develop a Bayesian approach to inference using Markov chain Monte Carlo and show g…