Discover and read the best of Twitter Threads about #timeseries

Most recents (9)

New release for PyCaret time series module! 🚀

PyCaret is a #Python package for low-code ML applications supporting supervised and unsupervised machine learning applications and time series forecasting models. New features: 🧵👇🏼

#TimeSeries #DataScience #MachineLearning Image
The pycaret-ts-alpha recent release includes (1/3):
✅Support for univariate forecasting with exogenous variables ❤️
✅Croston Model added for Intermittent Demand
✅Support for multiple seasonal periods in models that support it (e.g. TBATS)
✅Difference Plots with Diagnostics Image
The pycaret-ts-alpha recent release includes (2/3):
✅Periodogram and FFT to determine the seasonal periods and time series characteristics
✅Cross-Correlation Function (CCF) for univariate ✅forecasting with exogenous variables 🚀
Read 6 tweets
New release for @Uber forecasting library 🌈

Orbit is an open-source #Python library for Bayesian time series forecasting and inference applications developed by @UberEng 🧵 👇🏼

#timeseries #forecast #MachineLearning #PyTorch #Bayesian #Bayes
The library uses under the hood probabilistic programming languages with libraries such as #Python @mcmc_stan , Pyro, and #PyTorch to build the forecast estimators.

The new release, version 1.1 includes the following new features and changes: 👇🏼
New #forecasting model - Kernel Time-based #Regression (KTR). KTR model uses latent variables to define a smooth, time-varying representation of regression coefficients. Tutorials: 👇🏼
orbit-ml.readthedocs.io/en/latest/tuto…
orbit-ml.readthedocs.io/en/latest/tuto…
orbit-ml.readthedocs.io/en/latest/tuto…
orbit-ml.readthedocs.io/en/latest/tuto…
Read 8 tweets
Volume 100 of @jstatsoft: Software for Bayesian Statistics

Guest editors: @micameletti & @precariobecario

20 contributions on a wide range of methods #rstats #python #bayesian #inla @mcmc_stan #nimble #brms #rjags

URL: jstatsoft.org/v100 Editorial for the special volume 100 in the Journal of Stati
Van Niekerk, Bakka, Rue, Schenk:

New Frontiers in Bayesian Modeling Using the INLA Package in R

#rstats #inla #bayesian

doi.org/10.18637/jss.v…
Michaud, De Valpine, Turek, Paciorek, Nguyen:

Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages

#rstats #bayesian #nimble

doi.org/10.18637/jss.v…
Read 21 tweets
The best-available-pixel (BAP) tool you have been waiting for! Implemented on #GoogleEarthEngine (#GEE). #Landsat

In #GEEBAP can tune composite parameters, create a #timeseries, set area of interest, AND download surface reflectance outcomes!

Try it out:
code.earthengine.google.com/e27240a92ecf64…
#GEEBAP documentation:
github.com/saveriofrancin…
#OpenScience support on best available pixel compositing:
White et al. 2014, tandfonline.com/doi/full/10.10…
Griffiths et al. 2013, ieeexplore.ieee.org/document/64153…
See White et al. for guidance on parameter selection related to phenomena of interest
Read 3 tweets
Day 5 of #30DayChartChallenge - Slope

The plot below demonstrates the usage of Piecewise regression to capture the structural changes in the US total construction spending series (orange). Added a normal trend (red) for comparison. Code on comments

#rstats #dataviz #timeseries
Read 3 tweets
Massive new #QGIS plugin: #GEE Timeseries Explorer offers instant access to #EarthEngine image collections! Fetch #Landsat, #Sentinel2, or #MODIS #timeseries for any location and visualize images: geetimeseriesexplorer.readthedocs.io 🧵
Choose from our predefined collections, for instance merged & #cloud masked #Landsat TM, ETM+, OLI surface reflectance, cloud masked Sentinel2AB L2A, or just define your awesome custom collection in the built-in #Python editor.
Extract time series profiles for #training / #validation by clicking on map, or by navigating through vector point file. Download raw time series data for #sample-based workflows efficiently with parallel download.
Read 6 tweets
I am humbled and privilleged to note that my #Research paper; "Sources of #Unemployment in #Lesotho" is now available and can be accessed via the People's Republic of #China's National #Science and #Technology #Library - #NSTL. I give thanks 😎 Image
So far this year, I have successfully published three #Research articles in #Macroeconomics & #Finance, with another two in press. I am currently hammering away at a handful of working papers which will most certainly find a home in reputable #Journals, come 2021 🙏🏽🙂 Image
Im currently internalising the very insightful reviewer comments on my latest #Research paper titled; "Investigating Determinants of Commercial Bank Spreads in #Lesotho", from the good folks over at the globally reputable #International #Journal of #Finance & #Economics #IJFE 😊 ImageImage
Read 52 tweets
Please help us welcome our next curator Darryl Takudzwa Griffiths. @BlaqNinja completed his Bachelors Degree in Computer Engineering at DUT, graduated in 2011. Due to struggling to find suitable employment he went on to study multiple certificates from bodies such as Microsoft.
He has certificates in N+ (Computer Networking), A+ (Computer Technician & Technical Support), Certified Ethical Hacking V7 (CEH v7), Offensive Security Certified Professional (OSCP). Sadly even with these, he could not secure his desired post so in 2016 he moved to USA.
Darryl was able to secure a job in a corporation that owns casinos as a system analyst & security architect. Within the same year he embarked on a Masters degree in Robotics & Artificial Intelligence Engineering. In 2017 he resigned from his post and started his own company...
Read 99 tweets
Let’s say you’re doing a quasi-experimental study of an intervention to reduce antibiotic prescribing in primary care. Then #COVID19 happens and prescribing takes a nose-dive because no one is visiting the doctor. Analysis would have been controlled interrupted time series. Image
The study is set to start in a few months. Left is what we expected, right is what we got. How would you change the analysis to accommodate for the #COVID19 effect on the baseline period? #statistics #stats #timeseries #timeseriesanalysis
Since #COVID19 destroyed any possibility of a smooth trend in antibiotic prescribing in primary care (affecting both the pre-intervention and likely post-intervention periods), my thought is to compare the "recovery" in prescribing in the intervention and control groups.
Read 4 tweets

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