• ## R language bugs sequence Monte Carlo SMC, Markov transformation random volatility SV model, particle filter, metropolis Hastings time series analysis

Time：2021-12-29

Original link: http://tecdat.cn/?p=24162 In this example, we consider Markov transformation stochastic volatility model. statistical model Let YT be the dependent variable and XT be the unobserved logarithmic volatility of YT. For t ≤ Tmax, the stochastic volatility model is defined as follows The state variable CT follows a two state Markov process with transition probability […]

• ## Plato and technological nerds: the creative partnership between man and technology by Edward Ashford Lee

Time：2021-12-29

。。 Original name: Plato and the nerd: the creative partnership of humans and technology 。。ISBN: 9787521714241 。。 Content introduction.. This is a book that breaks the boundaries of disciplines, breaks through the fields of engineering technology and information science, fully integrates human cognitive experience, and analyzes the symbiotic relationship between information technology reform and human cognition […]

• ## Python uses the parameter optimization method of LSTM long-term and short-term memory neural network to predict the sales data of time series shampoo

Time：2021-12-28

Original link: http://tecdat.cn/?p=24431  Configuring neural networks is difficult because there is no good theory on how to do it. You must systematically explore different parameter configurations from the perspective of dynamic and objective results to try to understand the situation of a given predictive modeling problem. In this tutorial, you will learn how to explore […]

• ## LPF: A Language-Prior Feedback Objective Function forDe-biased Visual Question Answering

Time：2021-12-28

LPF: A Language-Prior Feedback Objective Function forDe-biased Visual Question Answering Related work The author introduces the previous model of eliminating language bias, which is mainly divided into two types: annotation-based methods non-annotation-based methods The former requires a lot of manual annotation, and recent experiments have proved that the improvement of its accuracy only comes from […]

• ## Python data visualization: analyze stock data and display data in line chart

Time：2021-12-27

preface The text and pictures of this article come from the network, only for learning and communication, and do not have any commercial purpose. If you have any questions, please contact us in time for handling. The following article comes from the data, Pi Pi Xia, by pi pi Xia It is mainly a stock. […]

• ## R language arma-egarch model and integrated prediction algorithm predict the actual volatility of SPX

Time：2021-12-27

Original link:http://tecdat.cn/?p=12174 – introduce This paper compares several time series models to predict the daily performance of SP500 indexActual volatility。 The benchmark is the arma-egarch model of SPX daily return series. Compare it with GARCH model. Finally, a set prediction algorithm is proposed. Hypothetical conditions The actual volatility is invisible, so we can only estimate […]

• ## Immune prognosis model of gastric cancer

Time：2021-12-27

Today I bring you an old routine article. In fact, the article analysis methods are common methods, but why can it get more than 6 points? Let’s find out~ Title: Construction and validation of immune prognosis model of TP53 related gastric cancer Research background At present, studies have shown that TP53 mutation can predict the […]

• ## Netty principle + high performance

Time：2021-12-26

Netty principle Netty is a high-performance, asynchronous event driven NiO framework, which is implemented based on the API provided by Java NiO. It provides support for TCP, UDP and file transfer. As an asynchronous NiO framework, all IO operations of netty are asynchronous and non blocking. Through the future listener mechanism, users can easily obtain […]

• ## PBR-BRDF-Disney-Unity-1

Time：2021-12-26

• ## Day01 | predicting drug efficacy from gene transcription data using deep learning

Time：2021-12-25

Figure 1 Several basic concepts before reading the literature: 1. Changes in transcriptional profiles (CTPs): amolecular biologyDomain, withcDNA、Express sequence tags(EST) oroligonucleotide arrays To determineCellsgene expressionConditions (including specificgeneWhether to expressExpression abundance, differentorganization, differentdevelopmentStage and expression difference under different physiological states). The overall situation map of cell function can be constructed by measuring a large number of […]

• ## Take you to the databend “release train”

Time：2021-12-25

“What is the databend publishing channel?” The release process of databend follows the “release train” model, and uses rust, Firefox and chrome, as well as “feature staging”. However, in the early days, databend only upgraded the nightly version number. When a nightly version is ready for beta, we will only leave a beta version and […]

• ## RMF model + AHP hierarchy model

Time：2021-12-24

The purpose of writing this article is to summarize the application of RMF model and AHP in product data analysis. If there is anything wrong, please leave a message in the evaluation area to discuss it. 1. RMF model RMF model, is an important tool to measure customer value and customer profitability by extracting three […]