Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Bayesian" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
AIC, BIC, Bayesian evidence against the interacting dark energy model
Autorzy:
Krawiec, Adam
Kurek, Aleksandra
Kamionka, Michał
Szydłowski, Marek
Opis:
Recent astronomical observations have indicated that the Universe is in a phase of accelerated expansion. While there are many cosmological models which try to explain this phenomenon, we focus on the interacting $\Lambda$ CDM model where an interaction between the dark energy and dark matter sectors takes place. This model is compared to its simpler alternative—the $\Lambda$ CDM model. To choose between these models the likelihood ratio test was applied as well as the model comparison methods (employing Occam’s principle): the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the Bayesian evidence. Using the current astronomical data: type Ia supernova (Union2.1), h(z)h(z), baryon acoustic oscillation, the Alcock–Paczynski test, and the cosmic microwave background data, we evaluated both models. The analyses based on the AIC indicated that there is less support for the interacting $\Lambda$ CDM model when compared to the $\Lambda$ CDM model, while those based on the BIC indicated that there is strong evidence against it in favor of the $\Lambda$ CDM model. Given the weak or almost non-existing support for the interacting $\Lambda$ CDM model and bearing in mind Occam’s razor we are inclined to reject this model.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Przegląd Archeologiczny T. 67 (2019)
The chronology and periodization of the Bronze and the early Iron Age burial ground in Domasław, Wrocław district, based on radiocarbon dating
Chronologia i periodyzacja cmentarzyska z epoki brązu i wczesnej epoki żelaza w Domasławiu, pow. wrocławski, na podstawie datowania radiowęglowego
Autorzy:
Goslar, Tomasz
Wydawca:
Instytut Archeologii i Etnologii Polskiej Akademii Nauk
Ośrodek Badań nad Kulturą Późnego Antyku i Wczesnego Średniowiecza
Powiązania:
Przegląd Archeologiczny
Opis:
il. ; 29 cm
ill. ; 29 cm
The article presents the results of the radiocarbon dating and Bayesian analysis of 14C dates of bones from the burial ground in Domasław. The Bayesian analysis used the relative chronology obtained based on the characteristic features of grave goods and the assigning of individual burials to specific periods of the late Bronze Age (III EB – V EB ) or the early Iron Age (HC – LtA). A coherent chronological model of the burial ground was accepted after assuming that graves with transitional features, attributable to two subsequent periods, could have been contemporary of graves from one or the other period. The temporal frames of particular periods calculated by the model allow us to improve previously published chronological diagrams of the late Bronze Age and the early Iron Age in the region.
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
Tytuł:
Raport Badawczy = Research Report ; RB/41/2015
Construction of prior model probability distributions for time series
Autorzy:
Hryniewicz, Olgierd (1948– )
Kaczmarek-Majer, Katarzyna
Wydawca:
Instytut Badań Systemowych. Polska Akademia Nauk
Systems Research Institute. Polish Academy of Sciences
Powiązania:
Raport Badawczy = Research Report
Opis:
21 pages ; 21 cm
Bibliografia s. 18-21
21 stron ; 21 cm
Bibliography p. 18-21
The paper presents the incorporation of linguistic summaries into the construction of forecasting models. Instead of defining probability distributions, the user validates expected trends and the system creates the probability distributions automatically. Linguistic summaries are constructed as linguistically quantified sentences mined from databases, that may be exemplified by 'Among all increasing trends, most are short'. The proposed approach is evaluated with experiments on real-life time series from the pharmaceutical market and the M3 Competition benchmark datasets.
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
    Wyświetlanie 1-4 z 4

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies