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Convolving Hyper-Erlang with Hyper-Exponential Distributions Using Linear Algebra
In this paper, the sum of a hyper-Erlang and a hyper-exponential distributed random variables is analyzed. Although tedious, the resulting random variable’s probability density function (PDF) can be obtained through convolution of its summands’ PDFs. ...
Bayesian Approach for Comparing Parameter Estimation of Regression Model for Outlier Data
This research compares and contrasts the simple regression model's parameter estimation methods, which consisted of a dependent variable and one independent variable. Parameter estimation uses the ordinary least square method, Bayesian method, Markov ...
Performance Improvement of Logistic Regression for Binary Classification by Gauss-Newton Method
This paper proposes a new approach to optimizing cost function for binary logistic regression by the Gauss-Newton method. This method was applied to the backpropagation phase as a part of the training process to update the weighted coefficients. To show ...
Evaluation of the maximum proportion of invertible submatrices in invertible binary matrices
The research on all-or-nothing transform in cryptography leads to the problem that, for a given positive integer , what is the density of invertible submatrices of any invertible matrix? For binary matrices, previous work shows that in the case , , ...
A new proposal of power series method to solve the Navier-Stokes equations: application contexts and perspectives
In this work we investigate the possibility of expressing the solution of the Navier-Stokes equations as a power series. Although there have been many studies on this subject, it is still much debated. The existence of such a solution and its ...
Research on the Factors Influencing Long Jump
Long-jumpers’ performances are affected by various factors. Based on the physical characteristics, take-off angle, approach speed, air density of environment, etc., this paper establishes a mathematical model that can obtain the long-jumpers’ ...
Simplicial Bernstein form and positivity certificates for solutions obtained in a stationary digital twin by Bernstein Bubnov-Galerkin method
In this article, using the simplicial Bernstein form of polynomials on a simplex, we provide positivity certificates for the approximate solution of a linear elliptic PDE obtained by simplicial Bernstein Bubnov-Galerkin method. Particularly, we show ...
Analysis of Technology Innovation Diffusion Model and Diffusion Characteristics on Educational Technology: Case Study of MOOC
With the development of educational informatization, the adoption and diffusion of educational technology have become hot research. As educational technology innovation, the MOOC has opened the "Internet + Education" integrated teaching model, and it ...
Risk Factors Associated with Hospital Unwarned Appointment Absenteeism: A logistic binary regression approach
One of the main problems faced by health institutions is the unwarned absenteeism of patients in medical appointments. Patients’ no-shows, without prior notice, can result in loss of revenue for health centres and increasing waiting lines. Hence, there ...
A Decentralized Collaborative Strategy for PTZ Camera Network Tracking System using Graph Learning: Assessing strategies for information sharing in a PTZ camera network for improving vehicle tracking, via agent-based simulations
In this paper, we propose a collaborative strategy for an autonomous PTZ (Pan Tilt Zoom) camera network, for improved target vehicle tracking, in real-world traffic. In addition, we explore ways to improve the target-tracking system to adapt itself to ...
Markov Process Modeling on Derived State Spaces of the Price Dynamics of Stock Market Indices
We explore and contrast two distinct ways of extracting discrete predictive models for the evolution of stock market time-series data. In particular, the two methods for constructing models are one, applying the commonly used “hollow candlestick” ...
Pricing Model of Insurance Product for Autistic Persons
This paper proposes a pricing model of insurance for persons with autism and further designs a possible insurance product that compensate the insured persons 18 years after purchasing the insurance. Using MATLAB programming, the variation of insurance ...
Stock price prediction based on PCA-LSTM model
In order to improve the prediction accuracy, this study proposes an new PCA-LSTM neural network stock price prediction model that combines principal component analysis(PCA) and long-term and short-term memory neural network (LSTM). We download time ...
Coronavirus statistics, Google mobility trend, and census demographics in US counties
The Coronavirus had been viral and heavily influenced daily lives for more than two years. Two popular procedures to combat the pandemic were general vaccine implantation and limited social contact. We evaluated the effectiveness of these procedures by ...
Analysis of the Influence of the Skeletal Age of Children on Their Body Fat
In order to understand the influence of fat factors on the bone age of children between the ages of 3 and 14 years, the physical examination data of children between the ages of 3 and 14 in the period of 2018.3.12-2020.5.10 were selected as the research ...
A Comparative Study of HiCanu and Hifiasm
The recent development of Hifi sequencing has greatly improved people's understanding of genomics. Hifi reads provide a more accurate and complete picture than traditional long reads and Illumina short reads. However, both long reads and short reads ...
The Classification of Chinese Personal Income Level Based on Bayesian Network
In recent years, great changes have taken place in economy and society in China. However, income inequality is becoming more serious and it needs to be paid more attention. Therefore, the analysis of factors that affect income is important. The Bayesian ...
Research on the Equation of the Magnetic Field Caused by Magnets
In this paper, the variational form is used to analyze the existence and uniqueness of the corresponding partial differential equations. In addition, the equation of the magnetic field induced by the magnet is also investigated. By constructing the ...
Indonesian Finance News Sentiment from Hybrid Deep Learning and Support Vector Machine
One common action to keep aware of the current investment progress is by updating finance news continuously. Indeed, we can read a bunch of news relating to finance from social media, which is often difficult to figure out at a glance. Hence, this work ...
Application of Stochastic Differential Equation in Atmospheric Temperature Prediction
Stochastic differential equations are widely used in atmospheric temperature prediction. This paper based on the established stochastic differential logistic model of global average temperature, it takes Euler's numerical model method to estimate the ...
The finite element simulation and optimization method of the temperature field of vacuum heat treatment based on Fluent
In the vacuum heat treatment process, the heat exchange process, temperature field distribution, and cooling rate field distribution inside the vacuum furnace are not easy to observe and measure directly. With the rapid development of numerical ...
Impact of Relativity on the Theoretical Limit for the Periodic System of Elements beyond Uranium
In the periodic table of elements there cannot be elements lighter than hydrogen, but there can be elements heavier than uranium. Presently about 26 transuranic are known. When atoms’ nuclei get heavier, more protons in the nucleus mean more Coulomb ...
Index Terms
- Proceedings of the 2022 5th International Conference on Mathematics and Statistics