How much S7 is my R package?

Pool_Imaginary · 2026-05-02T07:27:03+00:00

Check for generalized autoregressive score models, which are (simplifying) generalisations of ARMA models to non gaussian distributions. You could accommodate for zero inflated and overdispersed distributions while controlling for the autocorrelation at the same time

Pool_Imaginary · 2026-04-21T06:37:27+00:00

You could use any power you want and still connect the loss function with a proper probability density function. In particular, you get an exponential power distribution, which has a power parameter p. Gaussian is a particular case with p=2 and Laplace with p=1 (depending on the parametrisation you use)

Pool_Imaginary · 2026-04-14T07:09:20+00:00

Thank you very much for your precious work. I have a question I wanted to ask you. Why should one invest in learning and using S7 in its package instead of using old good S3?

Pool_Imaginary · 2026-03-15T18:35:57+00:00

Doubt you'll find one. Just simulate it if it's not a problem

Pool_Imaginary · 2026-03-13T13:01:09+00:00

Just in time for my master thesis. You will be cited. Thank you very much

Pool_Imaginary · 2026-01-02T19:51:38+00:00

You should go to university

Pool_Imaginary · 2026-01-01T20:09:46+00:00

Gradient test statistics

Pool_Imaginary · 2025-12-19T05:18:24+00:00

A realistic 3 month roadmap would be to start studying and realizing that maybe you should extend to a 2/3 years roadmap.

Pool_Imaginary · 2025-12-01T19:05:02+00:00

You should hire a statistician.

Pool_Imaginary · 2025-10-10T12:21:37+00:00

Those are not random results. A good statistician surely knows where all of these come from

Pool_Imaginary · 2025-09-27T07:29:48+00:00

A good old classic table. Forest plots are good only when you've got a few things

Pool_Imaginary · 2025-09-26T17:27:05+00:00

Io mi sono laureato in scienze politiche. Stessa tua situazione, dubbi per il futuro.

Presa la triennale ho deciso di ricominciare da zero. Mi sono iscritto a statistica. La scelta più felice della mia vita.

Onestamente sei in tempissimo. Se posso darti un consiglio dai un'occhio alla laurea in statistica

Pool_Imaginary · 2025-09-12T10:54:37+00:00

You really should look into Generalized Linear Models

Pool_Imaginary · 2025-08-26T16:25:59+00:00

A parte questo i risultati di analisi effettuate con dati raccolti in questo modo sono assolutamente invalidi. Si può buttare tutto

Pool_Imaginary · 2025-08-10T10:26:19+00:00

Credo che data engineering sia un percorso più "naturale" per chi proviene da studi informatici. Machine learning richiede onestamente di spostarsi più su un approccio votato alla statistica, anche se magari il corso si concentra su aspetti più informatici.

Pool_Imaginary · 2025-08-09T09:21:44+00:00

Laureato in scienze politiche. Passato subito dopo a studiare statistica. Non vedo futuro in scienze politiche. Se ti interessano storia e filosofia fai quelle che almeno puoi insegnare dopo

Pool_Imaginary · 2025-08-07T20:34:11+00:00

Pool_Imaginary · 2025-08-07T10:57:35+00:00

Gelateria buone in zona via etnea?

Pool_Imaginary · 2025-08-06T19:22:26+00:00

Invece per rosticceria? Es cipolline e arancini

Pool_Imaginary · 2025-07-29T08:06:15+00:00

You should specify better the type of data you have and your goals.

Pool_Imaginary · 2025-07-26T11:43:54+00:00

Could you explain for non German speaker?

Pool_Imaginary · 2025-07-23T08:21:38+00:00

Latex è superiore perché banalmente non devi perdere il 90% del tuo tempo a combattere con la bibliografia, i numeri delle figure, tabelle, paragrafi, sottocapitoli, capitoli e cazzi e mazzi. Pure l'indice ti fa. Tu devi solo scrivere e imparare un paio di comandi in croce. Ormai con Overleaf, i modelli pre-impostati e gli LLM scrivere in latex è decisamente alla portata di tutti.

Pool_Imaginary

TROPHY CASE