Search results for "Bayes"
showing 10 items of 847 documents
Potential of using data assimilation to support forest planning
2017
Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature …
A CNN Adaptive Model to Estimate PM10 Monitoring
2006
In this work we introduce a model for studying the distribution and control of atmospheric pollution from PM10. The model is based on the use of a cellular neural network (CNN) and more precisely on the integration of the mass-balance equation; at the same time it simulates the scenario regarding a planar grid describing the whole studied area (the city of Palermo) by means of a CNN and a set of Bayesian networks. The CNN allows us to define a grid system whose dynamic evolution is a redefinition of the diffusion equation that considers contributions coming from near cells for each element of the grid. Dynamics of each cell is influenced by meteorological effects and by parameters related t…
Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…
2020
Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…
Tilastollisia luokittelumenetelmiä koneelliseen tunnistamiseen : sovellus pohjaeläinaineistoon
2010
Pohjaeläimiä käytetään biologisessa seurannassa, jolla tutkitaan ihmistoiminnan vaikutuksia vesistöjen ympäristön tilaan. Perinteisesti pohjaeläimet tunnistetaan manuaalisesti. Tässä työssä tarkastellaan, miten pohjaeläimiä tunnistetaan koneellisesti käyttäen luokittelumenetelmiä, jotka ovat tuottaneet hyviä tuloksia planktoneilla. Pohjaeläinten tapauksessa on tärkeää saavuttaa mahdollisimman tarkat estimaatit lajien suhteellisille osuuksille. Tätä varten tarkastellaan sekaannusmatriisikorjauksena tunnettua menetelmää lajiosuuksien estimaateille. Pohjaeläimet ovat vesistöjen pohjassa eläviä selkärangattomia eläimiä, jotka reagoivat nopeasti ympäristön muutoksiin. Niiden runsaussuhteiden muu…
Inter-crystal scatter in positron emission tomography: Identification techniques and effects on reconstructed images for AX-PET demonstrator
2012
La PET es una técnica de imagen en medicina nuclear que permite la visualización in-vivo y en 3D de procesos funcionales en seres vivos. Un escáner PET mide los rayos gamma producidos al aniquilarse un positrón, el cual es emitido por un radioisótopo inyectado al paciente. La eficiencia del sistema es una característica crucial de los escáneres PET de alta resolución dedicados a la imagen del cerebro o de animales pequeños con el fin de obtener una imagen más fiel o de reducir la actividad del radiotrazador, y por consiguiente, la dosis inyectada al paciente. El objetivo de este trabajo de investigación es mejorar la eficiencia y calidad de imagen de un prototipo de escáner PET axial (AX-PE…
Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
2017
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of rai…
Archéologie de l'architecture carolingienne en France, état de la question
2002
Place: Zagreb-Motovun
The Bayesian estimation of private investment in Finland
2009
Abstract This paper estimates an investment equation for private investment using Bayesian estimation techniques. In the paper we derive the optimal capital accumulation behavior in the model economy from the households’ optimization problem of utility. The equation is derived as in Smets and Wouters (2003). The model contains costly adjustment of investment and random shocks to adjustment cost function. The driving variable of investment is Tobin Q variable. The empirical proxy for Tobin Q in this paper is the ratio of OMX Helsinki Cap Index to the price index of the physical capital. The investment series is the seasonally adjusted private investment in quarterly national accounts. The AR…
Molecular and biometric data on Carabus (Macrothorax) morbillosus Fabricius, 1792 (Coleoptera, Carabidae) from Mid Mediterranean areas
2022
The present study was carried out using molecular and biometric data of Carabus (Macrothorax) morbillosus from mid-Mediterranean areas to determine additional information on basal relationships among its representative subspecies. To this aim, two different kinds of approach were employed, including a morphometric analysis of four morphological parameters (i.e., elytra length, elytra width, pronotum length, pronotum width) of 128 specimens, and a Bayesian genetic analysis of 44 cytochrome oxidase subunit I (COI) partial sequences (i.e., 38 examined for the first time and six retrieved from GenBank database). Representative populations of C. (M.) morbillosus were sampled in four countries, n…
Puuttuvan tiedon käsittely aivosähkökäyrämittauksissa
2016
Aivosähkökäyrämittaukset ovat tyypillisesti hyvin työläitä ja pitkäkestoisia. Näiden seikkojen johdosta otoskoot ovat usein pieniä. Lisäksi osa koehenkilöistä päätyy lopettamaan mittaukset kesken, tai ei jaksa keskittyä annetun ohjeistuksen mukaisesti. Näin ollen valmiiksi hyvin rajalliseen aineistoon syntyy puuttuvuutta siten, että tietyt osakokeet jäävät kokonaan mittaamatta joidenkin henkilöiden osalta. Aineistossa ilmenevä puuttuvuus on käsitelty aivojenkuvantamismittauksissa tavanomaisesti siten, että analyysiin otetaan mukaan vain niitä koehenkilöitä koskevat mittaukset, joilta ei puutu lainkaan tietoa. Tätä menetelmää kutsutaan täydellisten havaintorivien analyysiksi. Tällainen analy…