Peter Cayton, the Stats Guy

I am now also in Bluesky!

https://bsky.app/profile/pjacaytonphd.bsky.social

At the PSRTI Research Forum.

I will be discussant in 2 sessions on the PSRTI Scoping Studies.

Oops!

I forgot that that there was a Q&A question in my Zoom Class on Interpretable Machine Learning! It's just 1 question, so here is my answer:

Anonymous:
Isn't it better to use Multiple Imputation by Chained Equations (MICE) vs k-Nearest Neighbors Imputation?

My answer:
MICE is good when you have multiple features and more computing time.
K Nearest Neighbour is a quick and easy approach when you have fewer (e.g., only 1) features.

Controversial Take:

If you search for any definition of statistics from different credible sources, you will generally find the following:

Statistics is a field of science concerned with the collection, organization, presentation, analysis, and interpretation of data. (Almeda, Capistrano, and Sarte 2009)

Statistics is the science of collecting, displaying, and analyzing data. (Upton and Cook 2008)

Statistics is a mathematical and conceptual discipline that focuses on the relation between data and hypotheses. (Romijn 2014)

Essentially, statistics is the science that deals about data.

We may say that statistics is the OG data science.

Reference:

Almeda JV, Capistrano TG, & Sarte GMF (2009). Elementary Statistics. UP Press.

Romijn, J-W (2014). "Philosophy of statistics". Stanford Encyclopedia of Philosophy.

Upton G & Cook I (2008). Oxford Dictionary of Statistics, 2nd ed. Oxford University Press.

Ito nga pala ang OFFICIAL METHODOLOGY ng PSA para sa Poverty Statistics.

https://www.psa.gov.ph/sites/default/files/infographics/Poverty%252520Methodology%252520Infographic-1.pdf

Ito ay main reference ko sa pagtuturo ng Stat 192 (Official Statistics) and Stat 275 (Economic Statistics)

Sa buong 12 buwang nagdaan, hindi nagkaroon ng ginhawa ang mga mahihirap nating kababayan sa parusa ng nagtataasang presyo ng mga bilihin.

Source: https://psa.gov.ph/content/summary-inflation-report-consumer-price-index-bottom-30-income-households-2018100-july-2024

Just finished a certificate program on Gender and Health

Excited to teach new courses for the coming first semester 2024-2025 before my sabbatical that starts at the 2nd sem 2024-2025 to 1st sem 2025-2026.

I requested for the following:

Stat 280 (Special Topics in Statistics: Forecasting Analytics for Data Science)
DS 397 (Special Topics in Data Science: Interpretable Machine Learning)
Stat 275 (Economic Statistics)

Still tentative, but hoping for the best!

Congratulations to Shanjid Abduhalim for presenting his special problem proposal on "Intervention Time Series Analysis and Forecasting Model for the Passenger Arrivals and Departures in Major Airports in the Philippines"!

We thank the panel members, Assoc Prof Genelyn Ma Sarte and Asst Prof Jetrei Benito for the insightful and constructive comments and suggestions for further development of the proposal. Their guidance adds dimensions that we can investigate in this timely research question as we assess the recovery of the Philippine air travel volumes from the pandemic and other factors affecting air travel in country.

Because of NDA, I cannot really disclose much details, but congratulations to Jose Angelo Austria, Neil Harvey Cruzada, and Ed Raphael Lucagbo for their successful defense of their special project in data science in analyzing net promoter score surveys with low response rates and missing data!

Thanks to the panel members made by Assoc Prof Genelyn Ma. Sarte, Assoc Prof Francisco De los Reyes, and Asst Prof Adrian Matthew Glova and an invited industry expert for their comments for revisions and guidance.

Congratulations to Sarah Mae Manuel-Gutierrez for her successful defense of her special problem titled "An Alternative Perspective on Demand and Supply to Forecast Inflation in the Philippines Using State Space Modeling".

We thanks the panel members Assoc Prof Genelyn Ma. Sarte and Asst Prof John Carlo Daquis with their helpful comments for the revision of the special problem and for their guidance.

Congratulations to Hans Joshua Leynes and Katrina Tan for a successful defense of their special project in data science titled "Philippine Stock Exchanhe Portfolio Recommendation using Forecasting, Clustering, and Optimization Techniques".

Thanks to Assoc Prof Genelyn Ma. Sarte, Asst Prof Jetrei Benito, and Asst Prof Adrian Matthew Glova for their comments and suggestions for revisions and for their guidance.