Morphology Institute

The Field Equations of Statistics

Physics doesn't guess the shape of a field. It solves an equation for it. Statistics can do the same: give it your data and the range they live on, and one equation returns the distribution. No model to pick, no kernel to tune.

Two distributions as two points on a sphere, and the path between them. Below, the distribution reshapes from two humps into one as a point moves along the path. sample A sample B
Every distribution is a point. The equation gives the shortest path between two of them.
What's different

We solve for the distribution. Statistics usually picks one.

Most methods start with a choice: a model family, a kernel width, a set of weights. Change the choice and the answer changes. We start from an equation instead. Give it your data and the range they live on, and it returns the distribution. The answer depends on the data, not on the analyst.

Question The usual way With a field equation
The shape of the distribution Chosen in advance Solved from the data
Tuning Kernel widths, weights, bandwidths Set by the sample, not the analyst
Two analysts, same data Can disagree Get the same answer
Comparing two samples Simulation, slightly different each run A formula, the same every time
What it does

Four questions you already ask of your data.

Describe

What does my data look like?

The data and the range they live on decide the shape. The bell curve and the other textbook shapes come out as special cases, not as assumptions.

Describe a sample →
Compare

How far apart are two distributions?

Fit each sample and measure the distance between the fits, straight from the formulas: the same answer every time, and exactly symmetric.

Compare two distributions →
Generate

Can I make new data that belongs?

Draw new samples straight from the fitted distribution and check them against real data the generator never saw. Very high dimensions, like shape outlines, are a work in progress.

Draw new samples →
Measure Coming soon

What does my data measure?

When a distribution comes from physics, the numbers that describe it also give its physical quantities, each with an error bar.

See what's coming →
Checked against a known answer

Same cells, same answer. Different cells, sixteen times farther apart.

NIST's cell image database holds three samples of one cell line and a sample of another. In the shape-populations working paper, the method finds the three replicates to be one population and sets the other line far apart. It agrees with NIST's published analysis, and it corrected two errors in our own earlier analysis of the same cells. The interactive version is coming to the experiments.

About the paper →
3 of 3
replicate samples of one cell line judged the same population
16×
farther apart for a different cell line, with p below 0.001
2
errors in our own 2016 analysis of the same data, found and corrected
0.003%
agreement with brute-force integration on a worked example
Beyond statistics

Where else the model might go.

Experiments on things we're thinking about: the same field model run on physical systems, from molecular energy levels and confined electrons to flow in a duct and the classic tests of gravity. Each shows the computed value beside the published one. They are explorations, not settled claims.

Explore the physics experiments →
Work together

Every experiment is a shared workbench.

Nothing to install. Open a session from the button in the lower right of any page, send the link, and work through an experiment with a colleague, a student or a partner lab, in real time.

One link, one room

Open a session on any experiment and send the link. Everyone who joins is in the same room, looking at the same thing.

Follow along

See each other's cursors. When one person scrolls or moves to another page, everyone comes along.

Change it together

When anyone sets a parameter or runs a computation, everyone sees the result at the same moment.

With an account

Talk while you work

Voice is built in, and the conversation carries on as you move from page to page.

Charts to the board

Send most interactive charts straight to a shared board, sketch over them, and keep notes in the session chat. The whole session saves as one file you can keep.

With an account

An assistant that knows the page

Ask about what's on screen. It knows the page and the institute's background documents, and on many experiments it sees the current results too.

Open an experiment →

Bring a dataset.

If your answer depends on a model you had to pick, we'd like to see it.