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141
Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan
Published 2024-12-01“…Landslide susceptibility mapping was carried out using two deep machine learning techniques (DeeplabV3+ & universal network U-Net) and two statistical models (Intuitionistic Fuzzy divergence IF-D & Frequency ratio FR). …”
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142
The Application of FT-IR Spectroscopy for Quality Control of Flours Obtained from Polish Producers
Published 2017-01-01“…This correlation resulted in calibrated and validated statistical models for versatile evaluation of unknown flour samples. …”
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143
On the Existence of Strongly Consistent Indirect Estimators When the Binding Function Is Compact Valued
Published 2013-01-01“…These are generalizations of the analogous results in the relevant literature and hence permit a broader scope of statistical models. We examine simple examples involving Levy and ergodic conditionally heteroskedastic processes.…”
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144
The effect of interspike interval statistics on the information gainunder the rate coding hypothesis
Published 2013-08-01“…The question, how much information can be theoreticallygained from variable neuronal firing rate with respect to constantaverage firing rate is investigated.We employ the statistical concept of information based on the Kullback-Leibler divergence,and assume rate-modulated renewal processes as a model of spike trains.We show thatif the firing rate variation is sufficiently small and slow(with respect to the mean interspike interval), the information gaincan be expressed by the Fisher information.Furthermore, under certain assumptions, the smallestpossible information gain is provided by gamma-distributed interspikeintervals.The methodology is illustrated and discussed on severaldifferent statistical models of neuronal activity.…”
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145
Uncertainty quantification in modeling HIV viral mechanics
Published 2015-05-01“…We then consider statistical models to describe the data and use these with residual plots in generalized least squares problems to develop accurate descriptions of the proper weights for the data. …”
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146
Effects of tax exemption on economic growth
Published 2022-01-01“…The empirical strategy employed used statistical models in panel data and quantile regression, taking the period between 2007 and 2017. …”
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147
USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT
Published 2024-12-01“…Our analysis highlights the extensive use of sophisticated statistical models in financial risk management. While some progress has been made, more challenges need to be addressed, especially in traditional statistical models. …”
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148
USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT
Published 2023-12-01“…Our analysis highlights the extensive use of sophisticated statistical models in financial risk management. While some progress has been made, more challenges need to be addressed, especially in traditional statistical models. …”
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149
Study of interstage channel of hybrid turbomolecular pump
Published 2021-03-01“…The calculation is based on the use of Monte Carlo method (method of test particle), which consists in the statistical modeling of processes. The article describes an algorithm to construct a mathematical model step by step. …”
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150
Los intereses sectoriales de la vivienda social en Cuba
Published 2010-05-01“…It sheds light on the statist model that has gradually given priority to quantity while defining quality via criteria for low-cost productivity. …”
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151
Modifications and Statistical Analysis of Acoustic Emission Models Based on the Damage and Fractal Characteristics
Published 2018-01-01“…Damage variable expressions are proposed based on the damage and fractal characteristics firstly. Then, the statistical models for acoustic emission considering damage and fractal characteristics are established by deducing the relationship between acoustic emission parameters and load cycles and fractal dimensions. …”
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152
Robust Bayesian Regularized Estimation Based on t Regression Model
Published 2015-01-01“…The t distribution is a useful extension of the normal distribution, which can be used for statistical modeling of data sets with heavy tails, and provides robust estimation. …”
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153
The Impact of COVID-19 on DTP3 Vaccination Coverage in Europe (2012–2023)
Published 2024-12-01“…Results: The findings revealed significant regional disparities across Europe. Statistical models indicated reductions in DTP3 coverage in countries such as Ireland, Sweden, and Switzerland, whereas Ukraine and San Marino showed improvements. …”
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154
Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals
Published 2024-12-01“…Based on the sufficient statistics model, a lower bound on the performance of single-channel blind demodulation for co-frequency mixed signals was derived using Forney’s method. …”
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155
Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models
Published 2021-01-01“…An important tool to evaluate the influence of these public transit investments on transit ridership is the application of statistical models. Drawing on stop-level boarding and alighting data for the Greater Orlando region, the current study estimates spatial panel models that accommodate for the impact of spatial and temporal observed and unobserved factors on transit ridership. …”
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156
Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS)
Published 2018-05-01“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
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157
Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS)
Published 2018-05-01“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
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158
Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968
Published 2018-12-01“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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159
Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968
Published 2018-12-01“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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160
Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines
Published 2011-01-01“…The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. In order to find the actual noise status in opencast mines, some of the popular noise prediction models, for example, ISO-9613-2, CONCAWE, VDI, and ENM, have been applied in mining and allied industries to predict the machineries noise by considering various attenuation factors. …”
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