Search results for "ELS"
showing 10 items of 12690 documents
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…
Do large‐scale associations in birds imply biotic interactions or environmental filtering?
2023
Aim There has been a wide interest in the effect of biotic interactions on species' occurrences and abundances at large spatial scales, coupled with a vast development of the statistical methods to study them. Still, evidence for whether the effects of within-trophic-level biotic interactions (e.g. competition and heterospecific attraction) are discernible beyond local scales remains inconsistent. Here, we present a novel hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity to dissect between environmental filtering and biotic interactions. Location France and Finland. Taxon Birds. Methods We estimated species-to-species association…
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospecti…
2022
IntroductionPreeclampsia, one of the leading causes of maternal and fetal morbidity and mortality, demands accurate predictive models for the lack of effective treatment. Predictive models based on machine learning algorithms demonstrate promising potential, while there is a controversial discussion about whether machine learning methods should be recommended preferably, compared to traditional statistical models.MethodsWe employed both logistic regression and six machine learning methods as binary predictive models for a dataset containing 733 women diagnosed with preeclampsia. Participants were grouped by four different pregnancy outcomes. After the imputation of missing values, statistic…
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…
Triacylglycerol Analysis in Human Milk and Other Mammalian Species: Small-Scale Sample Preparation, Characterization, and Statistical Classification …
2015
In this work, a method for the separation of triacylglycerols (TAGs) present in human milk and from other mammalian species by reversed-phase high-performance liquid chromatography using a core–shell particle packed column with UV and evaporative light-scattering detectors is described. Under optimal conditions, a mobile phase containing acetonitrile/n-pentanol at 10 °C gave an excellent resolution among more than 50 TAG peaks. A small-scale method for fat extraction in these milks (particularly of interest for human milk samples) using minimal amounts of sample and reagents was also developed. The proposed extraction protocol and the traditional method were compared, giving similar results…
Histoire, géographie, histoire des arts, CM2: livre de l'élève
2014
International audience
Histoire, géographie, histoire des arts CE2
2013
International audience
Many witnesses, many layers: the digital scholarly edition of the Iudicium coci et pistoris (Anth. Lat. 199 Riese)
2014
Il progetto di ricerca messo in cantiere durante l'anno della mia borsa di studio post-doc presso il Centro Linceo Interdisciplinare “B. Segre” dell'Accademia dei Lincei prevede la creazione di un'edizione critica digitale del Iudicium coci et pistoris iudice Vulcano di Vespa (Anth. Lat. 199 Riese), un testo latino tardoantico in versi con una tradizione pluritestimoniale. Tale edizione intende mettere a frutto gli apporti della semiotica, della linguistica e di quella sua parte detta grafologia, applicando le intuizioni teoriche e metodologiche di Tito Orlandi (vd. in particolare Informatica testuale, Laterza: Roma 2010); ed applicare, innovandolo, il markup XML/TEI. In tale edizione, le f…
Tècniques d'anàlisi genètica: Tema 6
2014
El document forma part dels materials docents programats mitjançant l'ajut del Servei de Política Lingüística de la Universitat de València. Tema 6 de 8, de què consta l'assignatura. Presenta l'ús de marcadors de grups de lligament en espècies model, tant en les que tenen l'entrecreuament limitat a un dels dos sexes com en les que els dos sexes presenten entrecreuament.
Marine reserves : fish life history and ecological traits matter
2010
Copyright by the Ecological Society of America