Results 91 to 100 of about 1,019,702 (312)

Hur kan vi få fler studenter att delta i samverkansinlärning?

Högre Utbildning
Samverkansinlärning (SI) är en etablerad pedagogisk modell baserad på kollaborativt lärande, med väldokumenterade positiva samband med akademiska prestationer.
Hugues Engel, Agneta Dellner
doaj   +1 more source

Oriental freshwater mussels arose in East Gondwana and arrived to Asia on the Indian Plate and Burma Terrane. [PDF]

Sci Rep, 2022
Bolotov IN, Pasupuleti R, Subba Rao NV, Unnikrishnan SK, Chan N, Lunn Z, Win T, Gofarov MY, Kondakov AV, Konopleva ES, Lyubas AA, Tomilova AA, Vikhrev IV, Pfenninger M, Düwel SS, Feldmeyer B, Nesemann HF, Nagel KO.   +17 more
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Approaches to estimate body condition from slaughter records in reindeer

Rangifer, 2008
Long-term fluctuations in population densities of reindeer and caribou are common, where pasture is the limiting resource. Pasture quality affects the nutritional status and production of the animals.
Anna Olofsson, Öje Danell, Pär Forslund, Birgitta Åhman   +3 more
doaj   +1 more source

The Relationship Between DSGE and VAR Models [PDF]

, 2013
This chapter reviews the literature on the econometric relationship between DSGE and VAR models from the point of view of estimation and model validation. The mapping between DSGE and VAR models is broken down into three stages: 1) from DSGE to state-space model; 2) from state-space model to VAR; 3) from VAR to finite order VAR.
openaire   +3 more sources

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Økt vareimport til Norge som ledd i et forbrukerhamskifte i andre halvdel av 1700-tallet og en forbruker-evolusjon på 1800-tallet

Heimen
Økt import av forbruksvarer ble viktig for utviklingen av forbrukersamfunnet i Norge. I denne artikkelen presenteres en oversikt over importmengdene av et stort antall varer på 1700- og 1800-tallet basert på registreringene i tollistene og ...
Margaret Aasness Knudtzon
doaj   +1 more source

Cleavage of viral DNA by restriction endonucleases stimulates the type II CRISPR-Cas immune response. [PDF]

Mol Cell, 2022
Maguin P, Varble A, Modell JW, Marraffini LA.   +3 more
europepmc   +1 more source

Backtesting VaR Models: An Expected Shortfall Approach [PDF]

Academics and practitioners have extensively studied Value-at-Risk (VaR) to propose a unique risk management technique that generates accurate VaR estimations for long and short trading positions and for all types of financial assets.
Timotheos Angelidis, Stavros Degiannakis
core  

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source