scholarly journals Fully Bayesian Aggregation

2021 ◽  
Author(s):  
Franz Dietrich
Keyword(s):  
Fully Bayesian ◽  
Bayesian Aggregation

Verbal statistical learning: Prior knowledge impacts word identification but not metacognition

2020 ◽  
Author(s):  
Laetitia Zmuda ◽  
Charlotte Baey ◽  
Paolo Mairano ◽  
Anahita Basirat
Keyword(s):  
Task Performance ◽  
Prior Knowledge ◽  
Statistical Learning ◽  
Cognitive Processes ◽  
Bayesian Approach ◽  
Word Identification ◽  
Artificial Language ◽  
Artificial Languages ◽  
Transitional Probabilities ◽  
Fully Bayesian

It is well-known that individuals can identify novel words in a stream of an artificial language using statistical dependencies. While underlying computations are thought to be similar from one stream to another (e.g. transitional probabilities between syllables), performance are not similar. According to the “linguistic entrenchment” hypothesis, this would be due to the fact that individuals have some prior knowledge regarding co-occurrences of elements in speech which intervene during verbal statistical learning. The focus of previous studies was on task performance. The goal of the current study is to examine the extent to which prior knowledge impacts metacognition (i.e. ability to evaluate one’s own cognitive processes). Participants were exposed to two different artificial languages. Using a fully Bayesian approach, we estimated an unbiased measure of metacognitive efficiency and compared the two languages in terms of task performance and metacognition. While task performance was higher in one of the languages, the metacognitive efficiency was similar in both languages. In addition, a model assuming no correlation between the two languages better accounted for our results compared to a model where correlations were introduced. We discuss the implications of our findings regarding the computations which underlie the interaction between input and prior knowledge during verbal statistical learning.

scholarly journals Influence of competition and intraguild predation between two candidate biocontrol parasitoids on their potential impact against Harrisia cactus mealybug, Hypogeococcus sp. (Hemiptera: Pseudococcidae)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
María B. Aguirre ◽  
Octavio A. Bruzzone ◽  
Serguei V. Triapitsyn ◽  
Hilda Diaz-Soltero ◽  
Stephen D. Hight ◽  
...  
Keyword(s):  
Intraguild Predation ◽  
Interference Competition ◽  
Biocontrol Agents ◽  
Parasitoid Species ◽  
Temporal Window ◽  
Response Models ◽  
Potential Impact ◽  
Functional Response Models ◽  
Fully Bayesian ◽  
Release Strategy

AbstractWhen two or more parasitoid species, particularly candidates for biocontrol, share the same target in the same temporal window, a complex of behaviors can occur among them. We studied the type of interactions (competition and intraguild predation) that existed between the nymphal parasitoids Anagyrus cachamai and A. lapachosus (Hymenoptera: Encyrtidae), two candidate neoclassical biocontrol agents against the Puerto Rican cactus pest mealybug, Hypogeococcus sp. (Hemiptera: Pseudococcidae). The surrogate native congener host in Argentina, the cactus mealybug Hypogeococcus sp., was studied to predict which species should be released; in the case that both should be released, in which order, and their potential impact on host suppression. In the laboratory we conducted experiments where different densities of the host mealybug were exposed to naive females of A. cachamai and A. lapachosus sequentially in both directions. Experiments were analyzed by combining a series of competitive behavioral and functional response models. A fully Bayesian approach was used to select the best explaining models and calculate their parameters. Intraguild predation existed between A. cachamai, the species that had the greatest ability to exploit the resource, and A. lapachosus, the strongest species in the interference competition. The role that intraguild predation played in suppression of Hypogeococcus sp. indicated that a multiple release strategy for the two biocontrol agents would produce better control than a single release; as for the release order, A. lapachosus should be released first.

scholarly journals Dissecting the midlife crisis: disentangling social, personality and demographic determinants in social brain anatomy

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hannah Kiesow ◽  
Lucina Q. Uddin ◽  
Boris C. Bernhardt ◽  
Joseph Kable ◽  
Danilo Bzdok
Keyword(s):  
Brain Regions ◽  
Interindividual Variation ◽  
Brain Morphology ◽  
Brain Anatomy ◽  
Leadership Roles ◽  
Social Brain ◽  
Aging Parents ◽  
Health Satisfaction ◽  
Midlife Transitions ◽  
Fully Bayesian

AbstractIn any stage of life, humans crave connection with other people. In midlife, transitions in social networks can relate to new leadership roles at work or becoming a caregiver for aging parents. Previous neuroimaging studies have pinpointed the medial prefrontal cortex (mPFC) to undergo structural remodelling during midlife. Social behavior, personality predisposition, and demographic profile all have intimate links to the mPFC according in largely disconnected literatures. Here, we explicitly estimated their unique associations with brain structure using a fully Bayesian framework. We weighed against each other a rich collection of 40 UK Biobank traits with their interindividual variation in social brain morphology in ~10,000 middle-aged participants. Household size and daily routines showed several of the largest effects in explaining variation in social brain regions. We also revealed male-biased effects in the dorsal mPFC and amygdala for job income, and a female-biased effect in the ventral mPFC for health satisfaction.

Consistent Bayesian Aggregation

1995 ◽  
Vol 66 (2) ◽  
pp. 313-351 ◽  
Author(s):  
Philippe Mongin
Keyword(s):  
Bayesian Aggregation

scholarly journals Community-based bayesian aggregation models for crowdsourcing

2014 ◽  
Author(s):  
Matteo Venanzi ◽  
John Guiver ◽  
Gabriella Kazai ◽  
Pushmeet Kohli ◽  
Milad Shokouhi
Keyword(s):  
Community Based ◽  
Bayesian Aggregation

PET-ABC: fully Bayesian likelihood-free inference for kinetic models

2021 ◽  
Author(s):  
Yanan Fan ◽  
Gaelle Marie Emvalomenos ◽  
Clara Grazian ◽  
Steven R Meikle
Keyword(s):  
Kinetic Models ◽  
Fully Bayesian

scholarly journals Recombination hotspots as a point process

2005 ◽  
Vol 360 (1460) ◽  
pp. 1597-1603 ◽  
Author(s):  
Maria De Iorio ◽  
Eric de Silva ◽  
Michael P.H Stumpf
Keyword(s):  
Point Process ◽  
Dna Sequences ◽  
Recombination Rate ◽  
Population Genetic ◽  
Process Model ◽  
Chromosomal Dna ◽  
New Approach ◽  
Recombination Hotspots ◽  
Minimum Number ◽  
Fully Bayesian

The variation of the recombination rate along chromosomal DNA is one of the important determinants of the patterns of linkage disequilibrium. A number of inferential methods have been developed which estimate the recombination rate and its variation from population genetic data. The majority of these methods are based on modelling the genealogical process underlying a sample of DNA sequences and thus explicitly include a model of the demographic process. Here we propose a different inferential procedure based on a previously introduced framework where recombination is modelled as a point process along a DNA sequence. The approach infers regions containing putative hotspots based on the inferred minimum number of recombination events; it thus depends only indirectly on the underlying population demography. A Poisson point process model with local rates is then used to infer patterns of recombination rate estimation in a fully Bayesian framework. We illustrate this new approach by applying it to several population genetic datasets, including a region with an experimentally confirmed recombination hotspot.

scholarly journals Fully Bayesian analysis of allele-specific RNA-seq data

2019 ◽  
Vol 16 (6) ◽  
pp. 7751-7770 ◽  
Author(s):  
Ignacio Alvarez-Castro ◽  
◽  
Jarad Niemi ◽  
Keyword(s):  
Bayesian Analysis ◽  
Rna Seq ◽  
Allele Specific ◽  
Fully Bayesian
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