Essays about: "advantages of computer in statistics"

Showing result 1 - 5 of 6 essays containing the words advantages of computer in statistics.

1. 1. Application of Bootstrap in Approximate Bayesian Computation (ABC)

   University essay from Uppsala universitet/Statistik, AI och data science

   Author : Ellinor Nyman; [2023]
   Keywords : ABC; Bootstrap; Computer intensive methods; Bayesian statistics; Linear regression;

   Abstract : The ABC algorithm is a Bayesian method which simulates samples from the posterior distribution. In this thesis, the method is applied on both synthetic and observed data of a regression model. Under normal error distribution a conjugate prior and the likelihood function are used in the algorithm. READ MORE

3. 2. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jinchen Liu; [2023]
   Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

   Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

4. 3. Estimating Median Visiting Times using Re-identification

   University essay from Lunds universitet/Matematik LTH

   Author : Johan Rodhe; Gustaf Oxenstierna; [2018]
   Keywords : Machine learning; Computer vision; Image analysis; Re-identification; Deep learning; Mathematics and Statistics;

   Abstract : Using customer visiting times stores can analyse customer behaviour and gain insights to help improve the store experience. This thesis investigates the possibility of using person re-identification to create a system that can estimate the median visiting time. Neural networks were used to analyse images of persons from two different views. READ MORE

5. 4. Parameter selection and derivative conditions for B-splines applied to gas turbine blade modeling

   University essay from Lunds universitet/Matematik LTH

   Author : Andreas Söderlund; [2015]
   Keywords : B-splines; spline interpolation; parameter selection; knot selection; Bezier curves; NURBS; derivative conditions; geometric continuity; turbine blade; turbine; compressor; compressor blade; interpolation; Mathematics and Statistics;

   Abstract : In gas turbine blade modeling a stable but yet flexible method of describing the blade shape is crucial. Polynomials and B ́ezier curves have previously been used and in this paper B-splines are employed instead. READ MORE

6. 5. R&D Efficiency in China: Can State-owned Firms Compete?

   University essay from Lunds universitet/Ekonomisk-historiska institutionen

   Author : John Boylston; [2013]
   Keywords : China; R D; R D Efficiency; Aerospace; Data Envelopment Analysis; SOE; Business and Economics;

   Abstract : Can state-owned firms’ R&D compete with that of more nimble private and foreign innovator firms? This paper analyzes R&D efficiency in China’s high tech industries (i) theoretically, based on previous studies, and (ii) empirically, through Data Envelopment Analysis under both Constant and Variable Returns to Scale. Though Chinese state-owned firms can theoretically be R&D efficient in industries where the underlying science is well understood, a myriad of factors including persistent soft budget constraints and policy burdens mitigate the potential advantages – bureaucratic pre-screening and access to finance – that characterize state-owned firms. READ MORE