Lisa Scalone, Dr.’s Post

📣 Exciting News! 📣 I'm thrilled to share our latest blog post titled "An FFT based Approach for Recovering the Causal Structure of Linear Dynamical Systems" by Mishfad Shaikh Veedu and 2 other authors! 🎉 This paper explores the fascinating realm of learning causal effects in dynamic scenarios, specifically focusing on the vector auto-regressive (VAR) model. The authors present a method that leverages the power of frequency-domain (FD) representations and the Fast Fourier Transform (FFT) to efficiently perform causal inference. By considering state variables as random variables at any given frequency, the approach offers valuable insights into the causation structure. The paper also delves into the application of the do-calculus machinery in the FD for systems with linear and time-invariant (LTI) interactions, leading to the development of versions of classical causal criteria. Furthermore, it demonstrates how graph reconstruction using multivariate Wiener projections outperforms other algorithms like the PC algorithm, thanks to the unique properties of the frequency-dependent Wiener coefficients' phase response. 👉 Want to dive deeper into this groundbreaking research? Click on the link below to download the PDF of the paper: 🔽🔽🔽 [Download PDF](https://ift.tt/UV0gK2j) Don't miss out on this enlightening read! #CausalStructureRecovery #VectorAutoRegressiveModel #FFTApproach #DataScience #Research #InstaDataHelpAINews

#BookPublished Happy to share the publication of our collaborative effort, "Differential Equation Based Solutions for Emerging Real-Time Problems," edited by myself, Biswajit Sarkar and Manash Chanda. This book is a comprehensive guide to leveraging differential equations for methodical and quantitative solutions in engineering and applied sciences. Explore a range of features, from addressing engineering problems to discussing major equation derivations and qualitative/quantitative analyses. If you're passionate about mathematical modeling, grab your copy here: https://lnkd.in/dBJZNRdW #BookLaunch #EngineeringSolutions #DifferentialEquations #MathematicalModeling

Cornell University arXiv.org/ People are complaining about YOUR new rules. You must publish during the last three years thing...otherwise, you are the "student" status, and your ex-BOSSES must confirm that you are worth something. And when you are the BOSS but don't publish on YOUR FREE Digital library? Don't you think that not all people continue in academics or just don't care to be on the flow? Could it be that YOU must CONFIRM your status? https://arxiv.org/

"Excited to share my latest research paper on 'Some Inferential Aspects on Three Station Tandem Queue' published in the prestigious Electronic Journal Reliability: Theory & Applications (ISSN 1932-2321). Grateful to my mentor Dr. Ambily Jose for her guidance and support throughout this journey. Special thanks to Dr. Irshad M R for his invaluable insights. Heartfelt gratitude to all my Teachers at the Department of Statistics, CUSAT, and my dear Family and Friends for their unwavering encouragement. #Research #QueueTheory #Gratitude"

What math skills do social researchers need? See this interview with Dr. Rhys Jones on #SageMethodspace: https://lnkd.in/g_xWwesb Sage #researchmethods #dataanalysis #academicresearch #socialresearch

Have you ever learned something only to forget it within days? 🤔 In the 1880s, Ebbinghaus pioneered memory studies and discovered the Forgetting Curve, showing how memories fade quickly. For “non-meaningful” information (e.g. work presentations or interview answers), our brains can discard it in just days — just 3 days, according to research. There’s some good news here– All is not lost! If you want to remember something longer than just 3 days, Chun & Heo (2018) discovered an optimal review frequency to help you retain the content. After you first learn whatever it is you want to remember, 1️⃣ Review it on Day 1 3️⃣ Review it on Day 3 6️⃣ And review it again on Day 6 Voilà! The secret to memory mastery. 💪 What techniques do you find effective for boosting your memory and retaining information? Share your tips in the comments 👇 _____________ Hi 👋 I’m Shadé Zahrai MBA LLB. Follow for regular content designed to help you get unstuck, propel forward and boost your performance. 🚀 _________ 📖 Reference: • Chun, B. A., & Heo, H. J. (2018, January). The effect of flipped learning on academic performance as an innovative method for overcoming ebbinghaus’ forgetting curve. In Proceedings of the 6th International Conference on Information and Education Technology (pp. 56-60). • Murre, J. M., & Dros, J. (2015). Replication and analysis of Ebbinghaus’ forgetting curve. PloS one, 10(7), e0120644.

learn not to forget

Say what? …. Reviewing information after 1, 3, and 6 days will increase memory. Really? Really! So what? ….Frequency of review can promote change. Now what?  How about adding (creative) triggers to training and communication plans at days 1, 3, and 6 days after a message was sent to reinforce a message? Use multiple mediums — texts, emails, social media, calls, group chat or a quick review at a stand up meeting to clarify, do a knowledge check or get the general pulse on a message. 

Tap into the potential of revision! As a passionate teacher and perpetual learner, I've witnessed the magic of revisiting knowledge.🌟 Embrace revision—it's not just a study tactic, but a dynamic process that fortifies your understanding and fuels success. Let's champion the art of remembering!🧠✨ Let's make learning a journey, not a destination!📚💡 #Education #RevisionRevolution #lifelonglearning