Bovino not welcome in Vegas

“Upon becoming aware of the individual’s presence, the patron was asked to leave the premises and was escorted out by staff in accordance with venue policy to maintain a safe and orderly environment for all patrons,” the venue said...Bottled Blonde did not provide further details other than describing itself as a private business that “does not engage in political activity or affiliations” and “reserves the right to refuse service to any patron at its discretion.”

#nazis #usPol #shunTheCunts #longMemory

https://lasvegassun.com/news/2026/feb/05/border-patrol-boss-gregory-bovino-tossed-from-las/

Ved slutningen af mit disputatsforsvar i 2005 blev jeg spurgt, hvad mit næste Grundtvigprojekt skulle være. Spørgsmålet tog mig på sengen - blandt andet fordi jeg endnu ingen planer havde om et Grundtvigprojekt - så jeg svarede så godt som i blinde og lidt drillende, at jeg gerne ville skrive en bog om "Grundtvig som fugl".

Prøv at gætte, hvilket billede der maser sig på, når man skriver om Grundtvigs salmer.

#IkkeEnEgentligQuiz #Grundtvig #DkFedi #LongMemory #Pip

"Yes, the #LongMemory is the most radical idea in this country. It is the loss of that long memory which deprives our people of that connective flow of thoughts and events that clarifies our vision, not of where we're going, but where we want to go." - #UtahPhillips (Rest in power, sir. You are missed.)

https://www.youtube.com/watch?v=eFEo42aSZhQ

The Long Memory

YouTube
In connection with #juliacon2024 (which I sadly could not attend), LongMemory.jl has been updated to v0.1.2. The main addition to the package is the test for change in persistence. It is now possible to test if the long memory parameter changed (decreased or increased) in a given sample. The function uses the fast Fourier transform to speed up computations. https://everval.github.io/LongMemory.jl/dev/#Structural-Changes #julialang #timeseries #longmemory #timeseriesanalysis
Home · LongMemory.jl

Documentation for LongMemory.jl.

I'm happy to announce that the accompanying manuscript 📜 to LongMemory.jl is now available in arXiv 📰
The paper describes the theoretical developments behind the (many) functions available in the package and illustrates them using the Nile River dataset also included in the package 🌊 Replication notebooks for all the figures and results in the manuscript are available at the package's and my personal website 👩‍💻
I welcome suggestions on how to improve the package and the paper. #JuliaLang #programming #timeseries #statisticalsoftware #longmemory https://arxiv.org/abs/2401.14077
LongMemory.jl: Generating, Estimating, and Forecasting Long Memory Models in Julia

LongMemory.jl is a package for time series long memory modelling in Julia. The package provides functions to generate long memory, estimate model parameters, and forecast. Generating methods include fractional differencing, stochastic error duration, and cross-sectional aggregation. Estimators include the classic ones used to estimate the Hurst effect, those inspired by log-periodogram regression, and parametric ones. Forecasting is provided for all parametric estimators. Moreover, the package adds plotting capabilities to illustrate long memory dynamics and forecasting. This article presents the theoretical developments for long memory modelling, show examples using the data included with the package, and compares the properties of LongMemory.jl with current alternatives, including benchmarks. For some of the theoretical developments, LongMemory.jl provides the first publicly available implementation in any programming language. A notable feature of this package is that all functions are implemented in the same programming language, taking advantage of the ease of use and speed provided by Julia. Therefore, all code is accessible to the user. Multiple dispatch, a novel feature of the language, is used to speed computations and provide consistent calls to related methods. The package is related to the R packages LongMemoryTS and fracdiff.

arXiv.org

Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

#julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @julialanguage

I don't know who at Pandas LLC decided that when ya have to truncate a floating-point number, ya truncate the EXPONENT.

But I'm gonna find out.

#shortrepresentation #longmemory

@Cocoron The normalization of the serious usage of the word #toot still cracks me up some time. How long until the phrase "The Prime Minister of #Japan Tooted..." no longer causes anyone to crack a smile?

But, yes, been through a variety of shit in a variety of movements & spaces in the past decade. Shit's inevitably messy, but thankfully there's some #LongMemory so we don't have to reinvent every wheel... https://www.youtube.com/watch?v=UDTtuKarY7U