The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions

May 24, 2016
By
The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions

The "kernel" is the seed or the essence at the heart or the core, and the kernel function measures distance from that center. In the following example from Wikipedia, the kernel is at the origin and the different curves illustrate alternative depiction...

Read more »

The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions

May 24, 2016
By
The Kernel Trick in Support Vector Machines: Seeing Similarity in More Intricate Dimensions

The "kernel" is the seed or the essence at the heart or the core, and the kernel function measures distance from that center. In the following example from Wikipedia, the kernel is at the origin and the different curves illustrate alternative depiction...

Read more »

Albedo-boy is back!

May 24, 2016
By
Albedo-boy is back!

New story here. Background here and here. The post Albedo-boy is back! appeared first on Statistical Modeling, Causal Inference, and Social Science.

Read more »

Sometimes there’s friction for a reason

May 24, 2016
By

Thinking about my post on Theranos yesterday it occurred to me that one thing that’s great about all of the innovation and technology coming out of places like Silicon Valley is the tremendous reduction of friction in our lives. With Uber it’s much...

Read more »

“Lots of hype around pea milk, with little actual scrutiny”

May 23, 2016
By

Paul Alper writes: Had no idea that “Pea Milk” existed, let alone controversial. Learn something new every day. Indeed, I’d never heard of it either. I guess “milk” is now a generic word for any white sugary drink? Sort of like “tea” is a generic word for any drink made from a powder steeped in […] The post “Lots of hype around pea milk, with little actual scrutiny” appeared first…

Read more »

Principal Components Regression, Pt. 2: Y-Aware Methods

May 23, 2016
By
Principal Components Regression, Pt. 2: Y-Aware Methods

In our previous note, we discussed some problems that can arise when using standard principal components analysis (specifically, principal components regression) to model the relationship between independent (x) and dependent (y) variables. In this note, we present some dimensionality reduction techniques that alleviate some of those problems, in particular what we call Y-Aware Principal Components … Continue reading Principal Components Regression, Pt. 2: Y-Aware Methods

Read more »

Listening to Your Sentences, II

May 23, 2016
By
Listening to Your Sentences, II

Here's a continuation of this recent post (for students) on listening to writing.OK, you say, Martin Amis interviews are entertaining, but Martin Amis is not a mere mortal, so what's the practical writing advice for the rest of us? Read this, from...

Read more »

Splitsville for Thiel and Kasparov?

May 23, 2016
By

The tech zillionaire and the chess champion were always a bit of an odd couple, and I’ve felt for awhile that it was just as well that they never finished that book they were talking about. But given that each of them has taken a second career in political activism, I can’t imagine that they’re […] The post Splitsville for Thiel and Kasparov? appeared first on Statistical Modeling, Causal Inference,…

Read more »

On deck this week

May 23, 2016
By

Mon: Splitsville for Thiel and Kasparov? Tues: Here’s something I know nothing about Wed: The “power pose” of the 6th century B.C. Thurs: “99.60% for women and 99.58% for men, P < 0.05.” Fri: Stan on the beach Sat: Michael Lacour vs John Bargh and Amy Cuddy Sun: Should he major in political science and […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Tip of the day: don’t be Theranosed

May 23, 2016
By

Theranos (v): to spin stories that appeal to data while not presenting any data To be Theranosed is to fall for scammers who tell stories appealing to data but do not present any actual data. This is worse than story time, in which the storyteller starts out with real data but veers off mid-stream into unsubstantiated froth, hoping you and I got carried away by the narrative flow. Theranos (n):…

Read more »

How to fit a variety of logistic regression models in SAS

May 23, 2016
By
How to fit a variety of logistic regression models in SAS

SAS software can fit many different kinds of regression models. In fact a common question on the SAS Support Communities is "how do I fit a <name> regression model in SAS?" And within that category, the most frequent questions involve how to fit various logistic regression models in SAS. There […] The post How to fit a variety of logistic regression models in SAS appeared first on The DO Loop.

Read more »

Bayes 2016

May 23, 2016
By
Bayes 2016

Earlier this week I was at the Bayes 2016 meeting, in lovely Leuven. Although I've been to Belgium quite a few times before, this was my first trip to Leuven $-$ somebody who used to work at UCL once told me that they didn't really like the place,...

Read more »

Row-Level Thinking vs. Cube Thinking

May 23, 2016
By
Row-Level Thinking vs. Cube Thinking

Our mental model of a dataset changes the way we ask questions. One aspect of that is the shape of the data (long or wide); an equally important issue is whether we think of the data as a collection of rows of numbers that we can aggregate bottom-up, or as a complete dataset that we can slice top-down to ask … Continue reading Row-Level Thinking vs. Cube Thinking

Read more »

A Quick Illustration of Pre-Testing Bias

May 23, 2016
By
A Quick Illustration of Pre-Testing Bias

The statistical and econometric literature on the properties of "preliminary-test" (or "pre-test") estimation strategies is large and well established. These strategies arise when we proceed in a sequential manner when drawing inferences about paramete...

Read more »

Not So Standard Deviations Episode 16 – The Silicon Valley Episode

May 23, 2016
By

Roger and Hilary are back, with Hilary broadcasting from the west coast. Hilary and Roger discuss the possibility of scaling data analysis and how that may or may not work for companies like Palantir. Also, the latest on Theranos and the release of dat...

Read more »

Update On Theranos

May 23, 2016
By

I think it’s fair to say that things for Theranos, the Silicon Valley blood testing company, are not looking up. From the Wall Street Journal (via The Verge): Theranos has voided two years of results from its Edison blood-testing machines, issuin...

Read more »

Martin Amis on How to Write a Great Sentence

May 22, 2016
By

It's been a while since I did a piece on good writing, for students.   In an old post I said "Listen to your words; push your prose toward poetry."  That's perhaps a bit much -- you don't need to write poetry, but you do need to lis...

Read more »

occupancy rules

May 22, 2016
By
occupancy rules

While the last riddle on The Riddler was rather anticlimactic, namely to find the mean of the number Y of empty bins in a uniform multinomial with n bins and m draws, with solution [which still has a link with e in that the fraction of empty bins converges to e⁻¹ when n=m], this led […]

Read more »

Now that’s what I call a power pose!

May 22, 2016
By
Now that’s what I call a power pose!

John writes: See below for your humour file or blogging on a quiet day. . . . Perhaps you could start a competition for the wackiest real-life mangling of statistical concepts (restricted to a genuine academic setting?). On 15 Feb 2016, at 5:25 PM, [****] wrote: Pick of the bunch from tomorrow’s pile of applications […] The post Now that’s what I call a power pose! appeared first on Statistical…

Read more »

BCEA 2.2-3 is out

May 22, 2016
By

I think the newest release of BCEA, our R package to standardise and post-process the output of a health economic model, is now available from CRAN $-$ in fact, the source code is also available here. The package is rather stable, so the...

Read more »

Source for the marketAgent R package

May 22, 2016
By

I recently gave a talk at the R in Finance conference in which I introduced the marketAgent package for R. Here is the source for the package if you’d like to play with it: marketAgent_0.000.tar I’ll be giving more details of the talk real soon now.   Update:  The Portfolio Probe website now has a […] The post Source for the marketAgent R package appeared first on Burns Statistics.

Read more »

“Stop the Polling Insanity”

May 21, 2016
By
“Stop the Polling Insanity”

Norman Ornstein and Alan Abramowitz warn against over-interpreting poll fluctuations: In this highly charged election, it’s no surprise that the news media see every poll like an addict sees a new fix. That is especially true of polls that show large and unexpected changes. Those polls get intense coverage and analysis, adding to their presumed […] The post “Stop the Polling Insanity” appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Nick and Nate and Mark on Leicester and Trump

May 20, 2016
By

Just following up on our post the other day on retrospective evaluations of probabilistic predictions: For more on Leicester City, see Nick Goff on Why did bookmakers lose on Leicester? and What price SHOULD Leicester have been? (forwarded to me by commenter Iggy). For more on Trump, see Nate Silver on How I Acted Like […] The post Nick and Nate and Mark on Leicester and Trump appeared first on…

Read more »


Subscribe

Email:

  Subscribe