Results 1 to 10 of about 4,726,480 (285)

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images [PDF]

Sensors, 2020
Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest ...
Jiangping Long, Hui Lin, Guangxing Wang, Hua Sun, Enping Yan   +4 more
doaj   +2 more sources

Experimental design modulates variance in BOLD activation: The variance design general linear model. [PDF]

Hum Brain Mapp, 2019
Typical fMRI studies have focused on either the mean trend in the blood-oxygen-level-dependent (BOLD) time course or functional connectivity (FC). However, other statistics of the neuroimaging data may contain important information.
Gaut G, Li X, Lu ZL, Steyvers M.
europepmc   +2 more sources

Variational Bayesian Parameter Estimation Techniques for the General Linear Model [PDF]

Frontiers in Neuroscience, 2017
Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data.
Ludger Starke, Dirk Ostwald, Dirk Ostwald, Dirk Ostwald   +3 more
doaj   +2 more sources

Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework [PDF]

Frontiers in Human Neuroscience, 2019
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often a lack of a complete description of the methods applied, necessary for study
Paola Pinti, Paola Pinti, Felix Scholkmann, Antonia Hamilton, Paul Burgess, Ilias Tachtsidis   +5 more
doaj   +2 more sources

Propensity Score Matching Underestimates Real Treatment Effect, in a Simulated Theoretical Multivariate Model

Mathematics, 2022
Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias in the estimation of causal effects in observational studies. After matching, the PSM significantly reduces the sample under investigation, which may lead
Daniel Garcia Iglesias
doaj   +1 more source

A novel technique for delineating the effect of variation in the learning rate on the neural correlates of reward prediction errors in model-based fMRI

Frontiers in Psychology, 2023
IntroductionComputational models play an increasingly important role in describing variation in neural activation in human neuroimaging experiments, including evaluating individual differences in the context of psychiatric neuroimaging.
Henry W. Chase
doaj   +1 more source

Synchrony-Division Neural Multiplexing: An Encoding Model

Entropy, 2023
Cortical neurons receive mixed information from the collective spiking activities of primary sensory neurons in response to a sensory stimulus. A recent study demonstrated an abrupt increase or decrease in stimulus intensity and the stimulus intensity ...
Mohammad R. Rezaei, Reza Saadati Fard, Milos R. Popovic, Steven A. Prescott, Milad Lankarany   +4 more
doaj   +1 more source

Analysis of correlations between indices of academic performance

Lietuvos Matematikos Rinkinys, 2023
The paper is devoted to multivariate statistical analysis of academic performance data. The phenomina of general grade inflation and the effect of the first passing of an egzam on grades of the egzam are investigated by making use of general linear ...
Jelena Čikun, Jonas-Vytautas Daunoravičius, Marijus Radavičius   +2 more
doaj   +3 more sources

Estimate of Cetacean and Shark Depredations in the Small-Scale Longline Fishery in the Southeastern Waters of Taiwan

Journal of Marine Science and Engineering, 2023
Cetacean and shark depredations in a small-scale longline fishery in the southeastern Taiwan waters were estimated based on interviews of 21 fishermen and logbooks of 12 sampling vessels, including 649 operations (681,310 hooks) from October 2009 to ...
Kwang-Ming Liu, Kuan-Yu Su, Chien-Pang Chin   +2 more
doaj   +1 more source

A Novel Approach to Monitor Head Movement Inside an MR Scanner Using Voltages Induced in Coils by Time-Varying Gradients

IEEE Access, 2023
To determine head pose within an MR scanner using measurements of gradient-induced voltage from a multiple coil. A practical implementation of this approach would involve measuring the position-sensitive voltages induced by the imaging gradients rather ...
Enamul H. Bhuiyan, Muhammad E. H. Chowdhury, Paul M. Glover   +2 more
doaj   +1 more source