Search results for "mallit"
showing 10 items of 395 documents
On stochastic modelling and reliability of systems with moving cracked material
2015
In many industrial processes, such as printing paper, a material travels through a series of rollers unsupported and under longitudinal tension. The value of the tension has an important role in the system behaviour, such as fracture and me- chanical stability. This thesis develops stochastic models for a system in which an elastic, isotropic cracked material travels through a series of spans and studies the probabilities of fracture and instability of the material. The models focus on describing tension variations and initial cracks in the material. Time-dependent tension fluctuations are modelled by the stationary Ornstein-Uhlenbeck process, and the occurrence and lengths of the cracks are…
New Challenges for the Greening of Transport : CM3 - Computational Multi Physics, Multi Scales and Multi Big Data in Transport Modeling, Simulation a…
2015
The stress-strain state and stabilization of viscoelastoplastic, imperfect moving web continuum
2014
On modelling and stability of axially moving viscoelastic materials
2013
gllvm : Fast analysis of multivariate abundance data with generalized linear latent variable models in R
2019
1.There has been rapid development in tools for multivariate analysis based on fully specified statistical models or “joint models”. One approach attracting a lot of attention is generalized linear latent variable models (GLLVMs). However, software for fitting these models is typically slow and not practical for large datsets. 2.The R package gllvm offers relatively fast methods to fit GLLVMs via maximum likelihood, along with tools for model checking, visualization and inference. 3.The main advantage of the package over other implementations is speed e.g. being two orders of magnitude faster, and capable of handling thousands of response variables. These advances come from using variationa…
Prediction and interpolation of time series by state space models
2015
Artikkeliväitöskirja. Sisältää yhteenveto-osan ja neljä artikkelia. Article dissertation. Contains an introduction part and four articles. A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of uncertainty should be presented. Multiple sources of uncertainty are often ignored due to the complexities involved in accounting them correctly. In this dissertation, some of these problems are reviewed and some new solutions are presented. A state space approach is also advocated for an e cient and exible framework for time series forecas…
Jyväsjärven hoitokalastuksen BACI-asetelman mallinnus lineaarisen sekamallin avulla
2011
IPR-aineistojen mahdollisuuksia, replikointitarpeita ja teknisiä haasteita
2021
Tässä artikkelissa tehdään katsaus aineettomien oikeuksien eli IPR- (intellectual property rights) aineistoihin erityisesti suomalaisesta ja eurooppalaisesta näkökulmasta. Keskityn patentti-, hyödyllisyysmalli-, tavaramerkki- ja mallioikeusaineistoihin eli teollisoikeuksiin jättäen tekijänoikeudet tarkastelun ulkopuolelle. Digitalisaation myötä rekisteriaineistojen laatu ja saatavuus ovat jatkuvasti lisääntyneet ja IPR-järjestelmien toiminnan tutkimus sekä hypoteesien empiirinen testaus ovat tulleet mahdolliseksi ennennäkemättömällä tavalla. Eräitä mielenkiintoisia aiheita, joiden tutkimuksen yhä laadukkaammat IPR-aineistot mahdollistavat ovat 1) kokonaisvaltaisempi IPR-analyysi, joka paten…
6th OOPSLA Workshop on Domain-Specific Modeling (DSM'06) October 22, 2006, Portland, Oregon, USA
2006
A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine
2022
We develop a Bayesian spatio-temporal model to study pre-industrial grain market integration during the Finnish famine of the 1860s. Our model takes into account several problematic features often present when analysing multiple spatially interdependent time series. For example, compared with the error correction methodology commonly applied in econometrics, our approach allows simultaneous modelling of multiple interdependent time series avoiding cumbersome statistical testing needed to predetermine the market leader as a point of reference. Furthermore, introducing a flexible spatio-temporal structure enables analysing detailed regional and temporal dynamics of the market mechanisms. Appl…